Tootfinder

🏘️ To spur the construction of affordable, resilient homes, the future is concrete
https://theconversation.com/to-spur-the-construction-of-affordable-resilient-homes-the-future-is-concrete-254561

To spur the construction of affordable, resilient homes, the future is concrete
When most Americans imagine a home, they picture a wood-framed house. But in an era of high housing costs and extreme weather events, precast concrete offers a mix of durability and efficiency.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
Daniel Commey, Rebecca A. Sarpong, Griffith S. Klogo, Winful Bagyl-Bac, Garth V. Crosby
https://arxiv.org/abs/2507.12439

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
Federated learning (FL) enables collaborative model training across decentralized clients while preserving data privacy. However, its open-participation nature exposes it to data-poisoning attacks, in which malicious actors submit corrupted model updates to degrade the global model. Existing defenses are often reactive, relying on statistical aggregation rules that can be computationally expensive and that typically assume an honest majority. This paper introduces a proactive, economic defense:…

Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures
Takumi Shinohara, Karl H. Johansson, Henrik Sandberg
https://arxiv.org/abs/2507.12052

Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures
This paper addresses the problem of distributed resilient state estimation and control for linear time-invariant systems in the presence of malicious false data injection sensor attacks and bounded noise. We consider a system operator (defender) capable of deploying cybersecurity measures to counteract the sensor compromises. Although such measures enhance resilience against adversarial attacks, they may incur substantial costs; hence, it is crucial to select countermeasures to balance resilien…

Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation
Mohamed Seliem, Dirk Pesch, Utz Roedig, Cormac Sreenan
https://arxiv.org/abs/2507.11250

Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation
Time-Sensitive Networking (TSN) is increasingly adopted in industrial systems to meet strict latency, jitter, and reliability requirements. However, evaluating TSN's fault tolerance under realistic failure conditions remains challenging. This paper presents IN2C, a modular OMNeT++/INET-based simulation framework that models two synchronized production cells connected to centralized infrastructure. IN2C integrates core TSN features, including time synchronization, traffic shaping, per-stream fil…

'Make another play': George Pickens, Cowboys' newest 'demon', spurs team to resilient win https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/15/cowboys-george-pickens-demon-week…

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
Michael K\"olle, Simon Salfer, Tobias Rohe, Philipp Altmann, Claudia Linnhoff-Popien
https://arxiv.org/abs/2509.11198

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
Quantum computing leverages quantum mechanics to address computational problems in ways that differ fundamentally from classical approaches. While current quantum hardware remains error-prone and limited in scale, Variational Quantum Circuits offer a noise-resilient framework suitable for today's devices. The performance of these circuits strongly depends on the underlying architecture of their parameterized quantum components. Identifying efficient, hardware-compatible quantum circuit architec…

Resilient Vital Sign Monitoring Using RIS-Assisted Radar
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
https://arxiv.org/abs/2509.10088 https://arxiv…

Resilient Vital Sign Monitoring Using RIS-Assisted Radar
Vital sign monitoring plays a critical role in healthcare and well-being, as parameters such as respiration and heart rate offer valuable insights into an individual's physiological state. While wearable devices allow for continuous measurement, their use in settings like in-home elderly care is often hindered by discomfort or user noncompliance. As a result, contactless solutions based on radar sensing have garnered increasing attention. This is due to their unobtrusive design and preservation…

Digital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks
Jie Zhang, Mostafa Rahmani Ghourtani, Swarna Bindu Chetty, Paul Daniel Mitchell, Hamed Ahmadi
https://arxiv.org/abs/2509.12499

Digital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks
Digital Twin (DT) technology enables real-time monitoring and optimization of complex network infrastructures by creating accurate virtual replicas of physical systems. In millimeter-wave (mmWave) 5G/6G networks, the deployment of Integrated Access and Backhaul (IAB) nodes faces highly dynamic urban environments, necessitating intelligent DT-enabled optimization frameworks. Traditional IAB deployment optimization approaches struggle with the combinatorial complexity of jointly optimizing covera…

"This convening is not an isolated event. It’s the first step in scaling a movement that reimagines how values-driven open science organisations can grow together, share resources, and strengthen the ecosystem we collectively serve. By working together, we can ensure that the future of open science is not only innovative, but also equitable, sustainable, and resilient."
https://www.carpentries.org/blog/2025/09/convening-to-reclaim-and-sustain-open-science-communities/
Great to see this forward looking collaborative work being done by @… @… @… @… and OLS

Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework
Deteng Zhang, Junjie Zhang, Yan Sun, Tao Li, Hao Yin, Hongzhao Xie, Jie Yin
https://arxiv.org/abs/2507.08364

Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework
Considerable advancements have been achieved in SLAM methods tailored for structured environments, yet their robustness under challenging corner cases remains a critical limitation. Although multi-sensor fusion approaches integrating diverse sensors have shown promising performance improvements, the research community faces two key barriers: On one hand, the lack of standardized and configurable benchmarks that systematically evaluate SLAM algorithms under diverse degradation scenarios hinders …

How thousands of small-scale farmers in Malawi are using a government-backed AI chatbot, designed by the nonprofit Opportunity International, for farming advice (Gregory Gondwe/Associated Press)
https://apnews.com/article/malawi-ai-fa…

AI is helping small-scale farmers in Malawi
Some small-scale farmers in the southern African country of Malawi are using an AI chatbot for advice to help them improve their methods and become more resilient to climate change. The chatbot is designed by the non-profit Opportunity International and is being used by around 180,000 rural households. The project is also backed by the Malawi government. Artificial intelligence has the potential to boost productivity in African agriculture, which is lagging behind. But there are many challenges…

Digitaltag 2025: resilient, demokratisch, Teilhabe-orientiert
Der Digitaltag wirbt für eine digital-affine und resiliente Gesellschaft. Die destruktiven Seiten des Internets sollen bekämpft, die guten gefördert werden.

Byzantine-Resilient Decentralized Online Resource Allocation
Runhua Wang, Qing Ling, Hoi-To Wai, Zhi Tian
https://arxiv.org/abs/2508.08658 https://arxiv.or…

Byzantine-Resilient Decentralized Online Resource Allocation
In this paper, we investigate the problem of decentralized online resource allocation in the presence of Byzantine attacks. In this problem setting, some agents may be compromised due to external manipulations or internal failures, causing them to behave maliciously and disrupt the resource allocation process by sending incorrect messages to their neighbors. Given the non-consensual nature of the resource allocation problem, we formulate it under a primal-dual optimization framework, where the …

The Building Resilient Kids Podcast
Great Australian Pods Podcast Directory: #GreatAusPods

What Actually Makes You Resilient? https://greatergood.berkeley.edu/article/item/what_actually_makes_you_resilient?utm_source=dlvr.it&utm_content=muz4now/magazine%2…

What Actually Makes You Resilient?
Our skills, genetics, personality, and environment all come together to influence how resilient we are to stress.

Resilient Global Practical Fixed-Time Cooperative Output Regulation of Uncertain Nonlinear Multi-Agent Systems Subject to Denial-of-Service Attacks
Wenji Cao, Lu Liu, Zehua Ye, Dan Zhang, Gang Feng
https://arxiv.org/abs/2509.08324

Resilient Global Practical Fixed-Time Cooperative Output Regulation of Uncertain Nonlinear Multi-Agent Systems Subject to Denial-of-Service Attacks
This paper investigates the problem of resilient global practical fixed-time cooperative output regulation of uncertain nonlinear multi-agent systems subject to denial-of-service attacks. A novel distributed resilient adaptive fixed-time control strategy is proposed, which consists of a novel distributed resilient fixed-time observer with a chain of nonlinear filters and a novel distributed resilient adaptive fixed-time controller. It is shown that the problem of resilient global practical fixe…

Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute Implementations
Ron F. Del Rosario, Klaudia Krawiecka, Christian Schroeder de Witt
https://arxiv.org/abs/2509.08646

Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute Implementations
As Large Language Model (LLM) agents become increasingly capable of automating complex, multi-step tasks, the need for robust, secure, and predictable architectural patterns is paramount. This paper provides a comprehensive guide to the ``Plan-then-Execute'' (P-t-E) pattern, an agentic design that separates strategic planning from tactical execution. We explore the foundational principles of P-t-E, detailing its core components - the Planner and the Executor - and its architectural advantages i…

OK, now, do we believe this?
CISA work not ‘degraded’ by Trump administration cuts, top agency official says
https://cyberscoop.com/cisa-operational-strength-despite-cuts-nicholas-andersen-billington-cybersecurity-summit/

"Belize project seeks out heat-resilient corals to protect its reefs"
#Belize #CoralReef #Environment

Belize project seeks out heat-resilient corals to protect its reefs
HOPKINS, Belize — Heaters, pumps and computerized meters rigged to an everyday picnic icebox may seem like a high school science project. But this heat stress tank may hold the key to finding the most heat-resilient corals in Belize’s waters. As climate change and other human-caused stressors continue to push these rainforests of the sea […]

Low-Communication Resilient Distributed Estimation Algorithm Based on Memory Mechanism
Wei Li, Limei Hu, Feng Chen, Ye Yao
https://arxiv.org/abs/2508.02705 https://

Low-Communication Resilient Distributed Estimation Algorithm Based on Memory Mechanism
In multi-task adversarial networks, the accurate estimation of unknown parameters in a distributed algorithm is hindered by attacked nodes or links. To tackle this challenge, this brief proposes a low-communication resilient distributed estimation algorithm. First, a node selection strategy based on reputation is introduced that allows nodes to communicate with more reliable subset of neighbors. Subsequently, to discern trustworthy intermediate estimates, the Weighted Support Vector Data Descri…

Direct Nuclear-Level Qubits using Trapped Th-229 Ions: A Platform for Entanglement and Universal Quantum Information Processing
Jingbo Wang, Haixing Miao, Shiqian Ding, Dong E. Liu
https://arxiv.org/abs/2508.10626

Direct Nuclear-Level Qubits using Trapped Th-229 Ions: A Platform for Entanglement and Universal Quantum Information Processing
The low-energy isomeric transition in Thorium-229 offers a unique interface between nuclear and atomic physics, presenting a resource for quantum technologies that is notably resilient to environmental decoherence. While early experiments focused on nuclei in solid-state crystals, the recent advent of a continuous-wave vacuum ultraviolet laser at 148.4~nm now enables direct coherent control of individual trapped Th-229 ions. Building on this breakthrough, we present a theoretical framework for …

Thanks for coming to my talk at @…, everyone! It was a joy and an honour to be invited – and I hope it was valuable! 🤗💚 Here are the slides: https://noti.st/matthiasott/ZXgFeg

Painting With the Web by Matthias Ott
Today’s Web is more complex, unpredictable, dynamic, and powerful than ever. Yet, 25 years after “A Dao of Web Design” we still approach building for the Web with a mindset of control, using linear workflows and static design tools that often don’t reflect the Web’s true nature and potential. The canvas we work on has transformed, the materials we use have changed. Together, we’ll explore how we can use web design engineering to start painting with the Web and create designs that ar…

Resilient cluster Mott states in layered Nb$_3$Cl$_8$ against pressure-induced symmetry breaking
Hongbin Qu, Xiaoqun Wang, Hai-Qing Li, ang Gang Li
https://arxiv.org/abs/2507.07624

Resilient cluster Mott states in layered Nb$_3$Cl$_8$ against pressure-induced symmetry breaking
In this work, by combining density-functional theory (DFT) with dynamical mean-field calculations (DMFT), we compare the crystal and electronic structures of the prototype cluster Mott insulator Nb$_{3}$Cl$_8$ at ambient and high-pressure. We explain the finite but significantly reduced charge gap experimentally observed at $P=9.7$ GPa. We reveal a local symmetry breaking of the Nb$_{3}$ trimer under pressure, reducing its symmetry from $C_{3v}$ to $C_{s}$. This leads to a strong bandwidth enha…

SCREME: A Scalable Framework for Resilient Memory Design
Fan Li, Mimi Xie, Yanan Guo, Huize Li, Xin Xin
https://arxiv.org/abs/2509.06101 https://arxiv.org/…

SCREME: A Scalable Framework for Resilient Memory Design
The continuing advancement of memory technology has not only fueled a surge in performance, but also substantially exacerbate reliability challenges. Traditional solutions have primarily focused on improving the efficiency of protection schemes, i.e., Error Correction Codes (ECC), under the assumption that allocating additional memory space for parity data is always expensive and therefore not a scalable solution. We break the stereotype by proposing an orthogonal approach that provides addit…

Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
Ziyi Guo, Yan Wang
https://arxiv.org/abs/2508.08976 …

Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
Natural disasters such as hurricanes and wildfires increasingly introduce unusual disturbance on economic activities, which are especially likely to reshape commercial land use pattern given their sensitive to customer visitation. However, current modeling approaches are limited in capturing such complex interplay between human activities and commercial land use change under and following disturbances. Such interactions have been more effectively captured in current resilient urban planning the…

Built Resilient
Great Australian Pods Podcast Directory: #GreatAusPods

Wikipedia is resilient because it is boring
https://www.theverge.com/cs/features/717322/wikipedia-attacks-neutrality-history-jimmy-wales

How Wikipedia survives while the rest of the internet breaks
How the world’s largest encyclopedia became the factual foundation of the web, but now it’s under attack from the right wing, tech billionaires, and AI.

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
Charuka Herath, Yogachandran Rahulamathavan, Varuna De Silva, Sangarapillai Lambotharan
https://arxiv.org/abs/2509.08449

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
Federated Learning (FL) enables decentralized model training without sharing raw data, offering strong privacy guarantees. However, existing FL protocols struggle to defend against Byzantine participants, maintain model utility under non-independent and identically distributed (non-IID) data, and remain lightweight for edge devices. Prior work either assumes trusted hardware, uses expensive cryptographic tools, or fails to address privacy and robustness simultaneously. We propose DSFL, a Dual-S…

from my link log —
The entities enabling scientific fraud at scale are large, resilient, and growing rapidly.
https://www.pnas.org/doi/10.1073/pnas.2420092122
saved 2025-08-19

Tell your Senators to vote NO on massive cuts to public media:
https://www.marketplace.org/action
This is a blatant attack on the only part of the media ecosystem that is resilient against political influence and control. That makes it the most valuable part. That's why the Rep…

#ProtectMyPublicMedia

Egonoise Resilient Source Localization and Speech Enhancement for Drones Using a Hybrid Model and Learning-Based Approach
Yihsuan Wu, Yukai Chiu, Michael Anthony, Mingsian R. Bai
https://arxiv.org/abs/2508.06310

Egonoise Resilient Source Localization and Speech Enhancement for Drones Using a Hybrid Model and Learning-Based Approach
Drones are becoming increasingly important in search and rescue missions, and even military operations. While the majority of drones are equipped with camera vision capabilities, the realm of drone audition remains underexplored due to the inherent challenge of mitigating the egonoise generated by the rotors. In this paper, we present a novel technique to address this extremely low signal-to-noise ratio (SNR) problem encountered by the microphone-embedded drones. The technique is implemented us…

Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
Furqan Zahoor, Ibrahim A. Albulushi, Saleh Bunaiyan, Anupam Chattopadhyay, Hesham ElSawy, Feras Al-Dirini
https://arxiv.org/abs/2507.05523

Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
With a growing interest in securing user data within the internet-of-things (IoT), embedded encryption has become of paramount importance, requiring light-weight high-quality Random Number Generators (RNGs). Emerging stochastic device technologies produce random numbers from stochastic physical processes at high quality, however, their generated random number streams are adversely affected by process and supply voltage variations, which can lead to bias in the generated streams. In this work, w…

Atmospheric Turbulence-Resilient Long-Range Fourier Ptychography
Junhao Zhang, Weilong Wei, Kaiyuan Yang, Qiang Zhou, Haotong Ma, Ge Ren, Zongliang Xie
https://arxiv.org/abs/2507.03943

Atmospheric Turbulence-Resilient Long-Range Fourier Ptychography
While Fourier ptychography (FP) offers super-resolution for macroscopic imaging, its real-world application is severely hampered by atmospheric turbulence, a challenge largely unaddressed in existing macroscopic FP research operating under idealized conditions. This work establishes, to our knowledge, the first comprehensive computational framework specifically designed for turbulence mitigation in long-range FP, termed Turbulence-Mitigated FP (TMFP). Rather than correcting pupil errors, an ima…

Error-Resilient Fast Entangling Gates for Scalable Ion-Trap Quantum Processors
Isabelle Savill-Brown, Zain Mehdi, Alexander K. Ratcliffe, Varun D. Vaidya, Haonan Liu, Simon A. Haine, C. Ricardo Viteri, Joseph J. Hope
https://arxiv.org/abs/2508.07593

Error-Resilient Fast Entangling Gates for Scalable Ion-Trap Quantum Processors
Non-adiabatic two-qubit gate proposals for trapped-ion systems offer superior performance and flexibility over adiabatic schemes at the cost of increased laser control requirements. Existing fast gate schemes are limited by single-qubit transition errors, which constrain the total number of pulses in high-fidelity solutions. We introduce an improved gate search scheme that enables both local and non-local two-qubit gates in chains containing tens of ions. These protocols use a multi-objective m…

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
Luca Mariotti, Veronica Guidetti, Federica Mandreoli
https://arxiv.org/abs/2507.06895

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
The growing demand for efficient knowledge graph (KG) enrichment leveraging external corpora has intensified interest in relation extraction (RE), particularly under low-supervision settings. To address the need for adaptable and noise-resilient RE solutions that integrate seamlessly with pre-trained large language models (PLMs), we introduce SCoRE, a modular and cost-effective sentence-level RE system. SCoRE enables easy PLM switching, requires no finetuning, and adapts smoothly to diverse cor…

A federal judge on Tuesday blocked the Trump administration from reallocating $4 billion meant to help communities protect against natural disasters.
U.S. District Judge Richard G. Stearns in Boston granted a preliminary injunction sought by 20 Democrat-led states while their lawsuit over the funding moves ahead.
Massachusetts Attorney General Andrea Campbell said in a statement that she would continue fighting to make sure “communities can adequately prepare for natural disasters

Judge blocks reallocation of billions meant for disaster mitigation
A federal judge has blocked the Trump administration from reallocating more than $4 billion meant to help communities protect against natural disasters. U.S. District Judge Richard G. Stearns on Tuesday granted a preliminary injunction sought by 20 Democrat-led states while their lawsuit over the funding moves ahead. The states argue the Federal Emergency Management Agency lacks the authority to end the Building Resilient Infrastructure and Communities program and redirect more than $4 billion …

Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints
David Mguni, Yaqi Sun, Haojun Chen, Amir Darabi, Larry Olanrewaju Orimoloye, Yaodong Yang
https://arxiv.org/abs/2508.08800

Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints
In multi-agent systems, the safe and reliable execution of tasks often depends on agents correctly coordinating their actions. However, in real-world deployments, failures of computational components are inevitable, presenting a critical challenge: ensuring that multi-agent reinforcement learning (MARL) policies remain effective even when some agents malfunction. We propose the Multi-Agent Robust Training Algorithm (MARTA), a plug-and-play framework for training MARL agents to be resilient to p…

Wir wollen eine Gesellschaft schaffen, die resilient gegen Arschlöcher¹ ist. Und mit resilient meine ich nicht, selbige in Vorstände, Aufsichtsräte, Regierungen – oder allgemeiner: ins Management² – zu schieben, ganz im Gegenteil.
__
¹also einen gewissen Prozentsatz selbiger
²aka: in Machtpositionen
#pol

Secure and Scalable Rerouting in LEO Satellite Networks
Lyubomir Yanev, Pietro Ronchetti, Joshua Smailes, Martin Strohmeier
https://arxiv.org/abs/2509.10173 https://

Secure and Scalable Rerouting in LEO Satellite Networks
Resilient routing in large-scale Low Earth Orbit (LEO) satellite networks remains a key challenge due to frequent and unpredictable link and node failures, potentially in response to cybersecurity breaches. While prior work has explored rerouting strategies with various levels of network awareness, their relative tradeoffs under dynamic failure conditions remain underexplored. In this work, we extend the Deep Space Network Simulator (DSNS) to systematically compare three rerouting paradigms, ea…

Resilient Biosecurity in the Era of AI-Enabled Bioweapons
Jonathan Feldman, Tal Feldman
https://arxiv.org/abs/2509.02610 https://arxiv.org/pdf/2509.02610…

Resilient Biosecurity in the Era of AI-Enabled Bioweapons
Recent advances in generative biology have enabled the design of novel proteins, creating significant opportunities for drug discovery while also introducing new risks, including the potential development of synthetic bioweapons. Existing biosafety measures primarily rely on inference-time filters such as sequence alignment and protein-protein interaction (PPI) prediction to detect dangerous outputs. In this study, we evaluate the performance of three leading PPI prediction tools: AlphaFold 3, …

Shake-Table Tests of a Three-Storey Steel Structure with Resilient Slip-Friction Joints (RSFJ)
Nicholas Chan, Ashkan Hashemi, Soheil Assadi, Pierre Quenneville, Charles Clifton, Gregory MacRae, Rajesh Dhakal, Liang-Jiu Jia
https://arxiv.org/abs/2509.03452

Shake-Table Tests of a Three-Storey Steel Structure with Resilient Slip-Friction Joints (RSFJ)
Shake-table tests were conducted as part of the Robust Building Systems (ROBUST) program to evaluate and demonstrate the resilience of various structural concepts under earthquake excitations. This paper presents the results of 3 different configurations incorporating the Resilient Slip-Friction Joint (RSFJ) in: (1) tension-only braces (TOB), (2) tension-compression braces (TCB), and (3) moment-resisting frame (MRF) joints along the longitudinal direction. Each building configuration was subjec…

GÉANT’s GN4-3N project is a finalist in the European Digital Connectivity Awards 2025 🎉
We’re honoured to be nominated in the “Cross-border and international connectivity” category, recognising the GN4-3N project’s role in building a more inclusive, resilient, and future-proof network infrastructure for the European #Research &

On-the-Fly Machine Learning of Interatomic Potentials for Elastic Property Modeling in Al-Mg-Zr Solid Solutions
Lukas Volkmer, Leonardo Medrano Sandonas, Philip Grimm, Julia Kristin Hufenbach, Gianaurelio Cuniberti
https://arxiv.org/abs/2508.06311

On-the-Fly Machine Learning of Interatomic Potentials for Elastic Property Modeling in Al-Mg-Zr Solid Solutions
The development of resilient and lightweight Aluminum alloys is central to advancing structural materials for energy-efficient engineering applications. To address this challenge, in this study, we explore the elastic properties of Al-Mg-Zr solid solutions by integrating advanced machine learning (ML) techniques with quantum-mechanical (QM) atomistic simulations. For this purpose, we develop accurate and transferable machine-learned interatomic potentials (MLIPs) using two complementary approac…

Central Asia’s last stable glaciers just started to collapse #CentralAsia

Central Asia’s last stable glaciers just started to collapse
Snowfall shortages are now destabilizing some of the world’s last resilient glaciers, as shown by a new study in Tajikistan’s Pamir Mountains. Using a monitoring station on Kyzylsu Glacier, researchers discovered that stability ended around 2018, when snowfall declined sharply and melt accelerated. The work sheds light on the Pamir-Karakoram Anomaly, where glaciers had resisted climate change longer than expected.

Design of Reliable and Resilient Electric Power Systems for Wide-Body All-Electric Aircraft
Mona Ghassemi
https://arxiv.org/abs/2509.09044 https://arxiv.or…

Design of Reliable and Resilient Electric Power Systems for Wide-Body All-Electric Aircraft
To achieve net-zero emissions by 2050, all-electric transportation is a promising option. In the U.S., the transportation sector contributes the largest share (29 percent) of greenhouse gas emissions. While electric vehicles are approaching maturity, aviation is only beginning to develop electrified aircraft for commercial flights. More than 75 percent of aviation emissions come from large aircraft, and this impact will worsen with 4-5 percent annual air travel growth. Aircraft electrification …

Nonlinear Power Amplifier-Resilient Cell-Free Massive MIMO: A Joint Optimization Approach
Wei Jiang, Hans D. Schotten
https://arxiv.org/abs/2506.22094 http…

Nonlinear Power Amplifier-Resilient Cell-Free Massive MIMO: A Joint Optimization Approach
This letter analyzes the effects of power amplifiers (PAs) on the downlink of cell-free massive MIMO systems. We model signal transmission incorporating nonlinear PA distortion and derive a unified spectral efficiency (SE) expression applicable to arbitrary precoding schemes. To combat PA-induced performance degradation, a joint optimization approach for user association and max-min power control is proposed. Furthermore, a low-complexity alternative is developed to approximate the joint optimi…

“The entities enabling scientific fraud at scale are large, resilient,and growing rapidly” The toxic mix of #predatory_journals, #AI and competitive #pressure in the acade…

Resilient State Recovery using Prior Measurement Support Information
Yu Zheng, Olugbenga Moses Anubi, Warren E. Dixon
https://arxiv.org/abs/2507.22340 https://

Resilient State Recovery using Prior Measurement Support Information
Resilient state recovery of cyber-physical systems has attracted much research attention due to the unique challenges posed by the tight coupling between communication, computation, and the underlying physics of such systems. By modeling attacks as additive adversary signals to a sparse subset of measurements, this resilient recovery problem can be formulated as an error correction problem. To achieve exact state recovery, most existing results require less than $50\%$ of the measurement nodes …

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
U\u{g}urcan Aky\"uz, Deniz Katircioglu-\"Ozt\"urk, Emre K. S\"usl\"u, Burhan Kele\c{s}, Mete C. Kaya, Gamze Durhan, Meltem G. Akp{\i}nar, Figen B. Demirkaz{\i}k, G\"ozde B. Akar
https://arxiv.org/abs/2508.15452

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
Numerous deep learning-based solutions have been developed for the automatic recognition of breast cancer using mammography images. However, their performance often declines when applied to data from different domains, primarily due to domain shift - the variation in data distributions between source and target domains. This performance drop limits the safe and equitable deployment of AI in real-world clinical settings. In this study, we present DoSReMC (Domain Shift Resilient Mammography Class…

Das es keine nennenswerten Ausfälle in der IT gibt während gleichzeitig #Wacken läuft liegt daran, das die Admin einfach einen sehr guten Job gemacht haben ihre Systeme resilient zu gestalten. (Und wahrscheinlich ein Terminal auf dem Handy offen haben) #WOA

DoorDash reports Q2 revenue up 25% YoY to $3.28B, vs. $3.16B est., total orders up 20% YoY to 761M, and forecasts Q3 gross order value above estimates (Juveria Tabassum/Reuters)
https://www.reuters.com/business/doordash-forecasts-stron…

SKYLINK: Scalable and Resilient Link Management in LEO Satellite Network
Wanja de Sombre, Arash Asadi, Debopam Bhattacherjee, Deepak Vasisht, Andrea Ortiz
https://arxiv.org/abs/2509.08455

SKYLINK: Scalable and Resilient Link Management in LEO Satellite Network
The rapid growth of space-based services has established LEO satellite networks as a promising option for global broadband connectivity. Next-generation LEO networks leverage inter-satellite links (ISLs) to provide faster and more reliable communications compared to traditional bent-pipe architectures, even in remote regions. However, the high mobility of satellites, dynamic traffic patterns, and potential link failures pose significant challenges for efficient and resilient routing. To address…

Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking
Peihan Li, Jiazhen Liu, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
https://arxiv.org/abs/2508.02529

Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking
Multi-robot coordination is crucial for autonomous systems, yet real-world deployments often encounter various failures. These include both temporary and permanent disruptions in sensing and communication, which can significantly degrade system robustness and performance if not explicitly modeled. Despite its practical importance, failure-aware coordination remains underexplored in the literature. To bridge the gap between idealized conditions and the complexities of real-world environments, we…

Hypervisor-based Double Extortion Ransomware Detection Method Using Kitsune Network Features
Manabu Hirano, Ryotaro Kobayashi
https://arxiv.org/abs/2508.08655 https://

Hypervisor-based Double Extortion Ransomware Detection Method Using Kitsune Network Features
Double extortion ransomware attacks have become mainstream since many organizations adopt more robust and resilient data backup strategies against conventional crypto-ransomware. This paper presents detailed attack stages, tactics, procedures, and tools used in the double extortion ransomware attacks. We then present a novel detection method using low-level storage and memory behavioral features and network traffic features obtained from a thin hypervisor to establish a defense-in-depth strateg…

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
Saad Alqithami
https://arxiv.org/abs/2506.22445

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
Cyber-Physical Systems play a critical role in the infrastructure of various sectors, including manufacturing, energy distribution, and autonomous transportation systems. However, their increasing connectivity renders them highly vulnerable to sophisticated cyber threats, such as adaptive and zero-day attacks, against which traditional security methods like rule-based intrusion detection and single-agent reinforcement learning prove insufficient. To overcome these challenges, this paper introdu…

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
Amirhossein Taherpour, Abbas Taherpour, Tamer Khattab
https://arxiv.org/abs/2508.08206

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
We propose a joint learning framework for Byzantine-resilient spectrum sensing and secure intelligent reflecting surface (IRS)--assisted opportunistic access under channel state information (CSI) uncertainty. The sensing stage performs logit-domain Bayesian updates with trimmed aggregation and attention-weighted consensus, and the base station (BS) fuses network beliefs with a conservative minimum rule, preserving detection accuracy under a bounded number of Byzantine users. Conditioned on the …

Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources
Roopkatha Banerjee, Prince Modi, Jinal Vyas, Chunduru Sri Abhijit, Tejus Chandrashekar, Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan
https://arxiv.org/abs/2507.02295

Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources
With the recent improvements in mobile and edge computing and rising concerns of data privacy, Federated Learning(FL) has rapidly gained popularity as a privacy-preserving, distributed machine learning methodology. Several FL frameworks have been built for testing novel FL strategies. However, most focus on validating the learning aspects of FL through pseudo-distributed simulation but not for deploying on real edge hardware in a distributed manner to meaningfully evaluate the federated aspects…

AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions
Ubada El Joulani, Tatiana Kalganova, Stergios-Aristoteles Mitoulis, Sotirios Argyroudis
https://arxiv.org/abs/2507.01547

AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions
Critical infrastructure, such as transport networks, underpins economic growth by enabling mobility and trade. However, ageing assets, climate change impacts (e.g., extreme weather, rising sea levels), and hybrid threats ranging from natural disasters to cyber attacks and conflicts pose growing risks to their resilience and functionality. This review paper explores how emerging digital technologies, specifically Artificial Intelligence (AI), can enhance damage assessment and monitoring of trans…

"Philippines protects huge coral hotspot off the coast of Panaon Island"
#Philippines #CoralReef #Environment

Philippines protects huge coral hotspot off the coast of Panaon Island
The corals around Panaon Island in the southeastern Philippines form some of the healthiest and most climate-resilient reefs in the world, and they’re now a legally protected seascape. Philippine President Ferdinand Marcos Jr. approved the Panaon Island Protected Seascape law on Aug. 29. It creates a 61,204-hectare (151,200-acre) marine protected area within the Pacific Coral […]

Training Strategies for Modality Dropout Resilient Multi-Modal Target Speaker Extraction
Srikanth Korse, Mohamed Elminshawi, Emanuel A. P. Habets, Srikanth Raj Chetupalli
https://arxiv.org/abs/2507.06566

Training Strategies for Modality Dropout Resilient Multi-Modal Target Speaker Extraction
The primary goal of multi-modal TSE (MTSE) is to extract a target speaker from a speech mixture using complementary information from different modalities, such as audio enrolment and visual feeds corresponding to the target speaker. MTSE systems are expected to perform well even when one of the modalities is unavailable. In practice, the systems often suffer from modality dominance, where one of the modalities outweighs the others, thereby limiting robustness. Our study investigates training st…

Decentralized Safety-Critical Control of Resilient DC Microgrids with Large-Signal Stability Guarantees
Muratkhan Abdirash, Xiaofan Cui
https://arxiv.org/abs/2509.03789 https://…

Decentralized Safety-Critical Control of Resilient DC Microgrids with Large-Signal Stability Guarantees
The increasing penetration of distributed energy resources and power-electronics interfaces in DC microgrids, coupled with rising cyber threats, necessitates primary controllers that are provably safe, cyber-resilient, and practical. The increasing penetration of distributed energy resources and power-electronics interfaces in DC microgrids, coupled with rising cyber threats, necessitates primary controllers that are provably safe, cyber-resilient, and practical. Conventional droop-based method…

Electric Vehicle Scheduling and Vehicle-to-Grid Integration in Microgrids
Nathan Cho, Andrea Lodi, Anna Scaglione
https://arxiv.org/abs/2508.06752 https://…

Electric Vehicle Scheduling and Vehicle-to-Grid Integration in Microgrids
The logistical challenges and high costs associated with procuring and transporting fuel to remote military bases underscore the need for sustainable and resilient energy solutions. Integrating renewable energy sources and electric vehicles into military microgrids offers a promising approach to enhance energy security and operational readiness. This paper explores the optimization of travel, charging, and discharging schedules for a fleet of military electric trucks, aiming to minimize relianc…

HaLert: A Resilient Smart City Architecture for Post-Disaster Based on Wi-Fi HaLow Mesh and SDN
Ana Rita Ortigoso, Gabriel Vieira, Daniel Fuentes, Lu\'is Fraz\~ao, Nuno Costa, Ant\'onio Pereira
https://arxiv.org/abs/2507.07841

HaLert: A Resilient Smart City Architecture for Post-Disaster Based on Wi-Fi HaLow Mesh and SDN
Events such as catastrophes and disasters are, in most cases, unpredictable. Consequently, reusing existing infrastructures to develop alternative communication strategies after disasters is essential to minimise the impact of these events on the population's ability to communicate and promptly receive alerts from authorities. In this context, the emergence of smart cities, characterised by dense and geographically distributed IoT networks, presents significant potential for such reuse. This wo…

Some Optimal and Near Optimal Doppler Resilient Complementary Sequence Sets
Bingsheng Shen, Zhengchun Zhou, Yang Yang, Pingzhi Fan
https://arxiv.org/abs/2508.15325 https://

Some Optimal and Near Optimal Doppler Resilient Complementary Sequence Sets
Sequences with excellent ambiguity functions are very useful in radar detection and modern mobile communications. Doppler resilient complementary sequence (DRCS) is a new type of sequence proposed recently, which can achieve lower ambiguity function sidelobes by summing the ambiguity functions of subsequences. In this paper, we introduce some new constructions of DRCS sets (DRCSSs) based on one-coincidence frequency-hopping sequence sets (OC-FHSSs), almost difference sets (ADSs), some specific …

Time is running out for wild salmon in the Columbia River Basin in the Pacific Northwest.
Their populations, as well as those of some other native fish, have been declining for decades.
Now, Donald Trump is attacking the progress that had been made to restore those once-abundant salmon runs.
In June 2025, Trump signed a memorandum signaling his administration’s unwillingness to abide by the Resilient Columbia Basin Agreement signed in December 2023 after two years of neg…

Tribes Condemn Trump for Backing Out of Columbia River Deal for Salmon Recovery
Tribal leaders and environmental advocates warn salmon populations will go extinct without remediation efforts.

Crosstalk-Resilient Beamforming for Movable Antenna Enabled Integrated Sensing and Communication
Zeyuan Zhang, Yue Xiu, Zheng Dong, Jiacheng Yin, Maurice J. Khabbaz, Chadi Assi, Ning Wei
https://arxiv.org/abs/2509.03273

Crosstalk-Resilient Beamforming for Movable Antenna Enabled Integrated Sensing and Communication
This paper investigates a movable antenna (MA) enabled integrated sensing and communication (ISAC) system under the influence of antenna crosstalk. First, it generalizes the antenna crosstalk model from the conventional fixed-position antenna (FPA) system to the MA scenario. Then, a Cramer-Rao bound (CRB) minimization problem driven by joint beamforming and antenna position design is presented. Specifically, to address this highly non-convex flexible beamforming problem, we deploy a deep reinfo…

SR-NCL: an Area-/Energy-Efficient Resilient NCL Architecture Based on Selective Redundancy
Hasnain A. Ziad, Alexander C. Bodoh, Ashiq A. Sakib
https://arxiv.org/abs/2506.15634

SR-NCL: an Area-/Energy-Efficient Resilient NCL Architecture Based on Selective Redundancy
Duplication-based redundancy schemes have proven to be effective in designing fully-resilient Quasi-delay Insensitive (QDI) asynchronous circuits. The complete resiliency, however, is accompanied by significant energy, latency, and area overhead. This paper presents a novel error-tolerant Null Convention Logic (NCL) architecture based on selective redundancy. Results demonstrate the efficacy of the proposed method in terms of area and energy utilization as compared to existing duplication-based…

Noise-Resilient Quantum Reinforcement Learning
Jing-Ci Yue, Jun-Hong An
https://arxiv.org/abs/2508.20601 https://arxiv.org/pdf/2508.20601

Noise-Resilient Quantum Reinforcement Learning
As a branch of quantum machine learning, quantum reinforcement learning (QRL) aims to solve complex sequential decision-making problems more efficiently and effectively than its classical counterpart by exploiting quantum resources. However, in the noisy intermediate-scale quantum (NISQ) era, its realization is challenged by the ubiquitous noise-induced decoherence. Here, we propose a noise-resilient QRL scheme for a quantum eigensolver. By investigating the non-Markovian decoherence effect on …

Odyssey: Adaptive Policy Selection for Resilient Distributed Training
Yuhang Zhou, Zhibin Wang, Peng Jiang, Haoran Xia, Junhe Lu, Qianyu Jiang, Rong Gu, Hengxi Xu, Xinjing Huang, Guanghuan Fang, Zhiheng Hu, Jingyi Zhang, Yongjin Cai, Jian He, Chen Tian
https://arxiv.org/abs/2508.21613

Odyssey: Adaptive Policy Selection for Resilient Distributed Training
Training large language models faces frequent interruptions due to various faults, demanding robust fault-tolerance. Existing backup-free methods, such as redundant computation, dynamic parallelism, and data rerouting, each incur performance penalties, whether from ongoing overhead, lengthy reconfigurations, or post-recovery inefficiencies. We propose Odyssey, an adaptive fault-tolerant system that intelligently selects optimal recovery strategies when a failure occurs. Odyssey achieves this th…

Blockchain-Based Decentralized Domain Name System
Guang Yang, Peter Trinh, Alma Nkemla, Amuru Serikyaku, Edward Tatchim, Osman Sharaf
https://arxiv.org/abs/2508.05655 https://…

Blockchain-Based Decentralized Domain Name System
The current Domain Name System (DNS) infrastructure faces critical vulnerabilities including poisoning attacks, censorship mechanisms, and centralized points of failure that compromise internet freedom and security. Recent incidents such as DNS poisoning attacks on ISP customers highlight the urgent need for resilient alternatives. This paper presents a novel blockchain-based Decentralized Domain Name System (DDNS). We designed a specialized Proof-of-Work blockchain to maximize support for DNS-…

Generative Feature Imputing - A Technique for Error-resilient Semantic Communication
Jianhao Huang, Qunsong Zeng, Hongyang Du, Kaibin Huang
https://arxiv.org/abs/2508.17957 http…

Generative Feature Imputing - A Technique for Error-resilient Semantic Communication
Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial intelligence (AI) to extract and transmit the underlying meanings of source data. However, deploying SemCom over digital systems presents new challenges, particularly in ensuring robustness against transmission errors that may distort semantically critical content. To address this issue, this paper proposes a novel fr…

Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
Sandeep Kanta, Mehrdad Tavassoli, Varun Teja Chirkuri, Venkata Akhil Kumar, Santhi Bharath Punati, Praveen Damacharla, Sunny Katyara
https://arxiv.org/abs/2508.11960

Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
Agile and human-centric manufacturing stipulates resilient robotic solutions capable of contextual reasoning and safe interaction in unstructured environments. Foundation models particularly the Vision Language Action (VLA) models have emerged to fuse multimodal perception, reasoning and physically grounded action across varied embodiments into unified representation, termed as General Physical Intelligence (GPI). While GPI has already been described in the literature but its practical applicat…

Event-Triggered Resilient Consensus of Networked Euler-Lagrange Systems Under Byzantine Attacks
Yuliang Fu, Guanghui Wen, Dan Zhao, Wei Xing Zheng, Xiaolei Li
https://arxiv.org/abs/2507.15283

Event-Triggered Resilient Consensus of Networked Euler-Lagrange Systems Under Byzantine Attacks
The resilient consensus problem is investigated in this paper for a class of networked Euler-Lagrange systems with event-triggered communication in the presence of Byzantine attacks. One challenge that we face in addressing the considered problem is the inapplicability of existing resilient decision algorithms designed for one-dimensional multi-agent systems. This is because the networked Euler-Lagrange systems fall into the category of multi-dimensional multi-agent systems with coupling among …

Realizing the Haldane Model in Thermal Atoms
Jiefei Wang, Jianhao Dai, Ruosong Mao, Yunzhou Lu, Xiao Liu, Huizhu Hu, Shi-Yao Zhu, Xingqi Xu, Han Cai, Da-Wei Wang
https://arxiv.org/abs/2509.08411

Realizing the Haldane Model in Thermal Atoms
Topological materials hold great promise for developing next-generation devices with transport properties that remain resilient in the presence of local imperfections. However, their susceptibility to thermal noise has posed a major challenge. In particular, the Haldane model, a cornerstone in topological physics, generally requires cryogenic temperatures for experimental realization, limiting both the investigation of topologically robust quantum phenomena and their practical applications. In …

ReLATE : Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
Cagla Ipek Kocal, Onat Gungor, Tajana Rosing, Baris Aksanli
https://arxiv.org/abs/2508.19456

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
Minimizing computational overhead in time-series classification, particularly in deep learning models, presents a significant challenge due to the high complexity of model architectures and the large volume of sequential data that must be processed in real time. This challenge is further compounded by adversarial attacks, emphasizing the need for resilient methods that ensure robust performance and efficient model selection. To address this challenge, we propose ReLATE+, a comprehensive framewo…

NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Maryam Ghasemzadeh, Anton van Beek
https://arxiv.org/abs/2508.16476

NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical inputs can yield varying outputs. These challenges are common in physical and simulation experiments (e.g., randomized medical trials and, molecular dynamics simulations) and are therefore incompatible with conventional MOBO methods. As a result, experimental resources are inefficiently allocated, leading to suboptim…

Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Ming-Chun Lee, Christian Eckrich, Vahid Jamali, Yu-Chih Huang, Arash Asadi, Li-Chun Wang
https://arxiv.org/abs/2506.19518

Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate…

Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management
Mohammad Hossein Nejati Amiri, Fawaz Annaz, Mario De Oliveira, Florimond Gueniat
https://arxiv.org/abs/2508.08132

Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management
Renewable energy integration into microgrids has become a key approach to addressing global energy issues such as climate change and resource scarcity. However, the variability of renewable sources and the rising occurrence of High Impact Low Probability (HILP) events require innovative strategies for reliable and resilient energy management. This study introduces a practical approach to managing microgrid resilience through Explainable Deep Reinforcement Learning (XDRL). It combines the Proxim…

Uncertainty-Resilient Active Intention Recognition for Robotic Assistants
Juan Carlos Sabor\'io, Marc Vinci, Oscar Lima, Sebastian Stock, Lennart Niecksch, Martin G\"unther, Alexander Sung, Joachim Hertzberg, Martin Atzm\"uller
https://arxiv.org/abs/2508.19150

Uncertainty-Resilient Active Intention Recognition for Robotic Assistants
Purposeful behavior in robotic assistants requires the integration of multiple components and technological advances. Often, the problem is reduced to recognizing explicit prompts, which limits autonomy, or is oversimplified through assumptions such as near-perfect information. We argue that a critical gap remains unaddressed -- specifically, the challenge of reasoning about the uncertain outcomes and perception errors inherent to human intention recognition. In response, we present a framework…

When Every Symbol Counts: Resilient Wireless Systems Under Finite Blocklength Constraints
Kevin Weinberger, Aydin Sezgin
https://arxiv.org/abs/2506.21664 h…

When Every Symbol Counts: Resilient Wireless Systems Under Finite Blocklength Constraints
As 6G evolves, wireless networks become essential for critical operations and enable innovative applications that demand seamless adaptation to dynamic environments and disruptions. Because these vital services require uninterrupted operation, their resilience to unforeseen disruptions is essential. However, implementing resilience necessitates rapid recovery procedures, which operate in the finite blocklength (FBL) regime, where short packets and added error-correction overhead can severely de…

FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
Rami Darwish, Mahmoud Abdelsalam, Sajad Khorsandroo, Kaushik Roy
https://arxiv.org/abs/2507.07258

FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
As IoT ecosystems continue to expand across critical sectors, they have become prominent targets for increasingly sophisticated and large-scale malware attacks. The evolving threat landscape, combined with the sensitive nature of IoT-generated data, demands detection frameworks that are both privacy-preserving and resilient to data heterogeneity. Federated Learning (FL) offers a promising solution by enabling decentralized model training without exposing raw data. However, standard FL algorithm…

General Perturbation Resilient Dynamic String-Averaging for Inconsistent Problems with Superiorization
Kay Barshad, Yair Censor
https://arxiv.org/abs/2507.00717

General Perturbation Resilient Dynamic String-Averaging for Inconsistent Problems with Superiorization
In this paper we introduce a General Dynamic String-Averaging (GDSA) iterative scheme and investigate its convergence properties in the inconsistent case, that is, when the input operators don't have a common fixed point. The Dynamic String-Averaging Projection (DSAP) algorithm itself was introduced in an 2013 paper, where its strong convergence and bounded perturbation resilience were studied in the consistent case (that is, when the sets under consideration had a nonempty intersection). Resul…

Resilient-Native and Intelligent Next-Generation Wireless Systems: Key Enablers, Foundations, and Applications
Mehdi Bennis, Sumudu Samarakoon, Tamara Alshammari, Chathuranga Weeraddana, Zhoujun Tian, Chaouki Ben Issaid
https://arxiv.org/abs/2506.22991

Resilient-Native and Intelligent Next-Generation Wireless Systems: Key Enablers, Foundations, and Applications
Just like power, water, and transportation systems, wireless networks are a crucial societal infrastructure. As natural and human-induced disruptions continue to grow, wireless networks must be resilient. This requires them to withstand and recover from unexpected adverse conditions, shocks, unmodeled disturbances and cascading failures. Unlike robustness and reliability, resilience is based on the understanding that disruptions will inevitably happen. Resilience, as elasticity, focuses on the …

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows
Vladislav Esaulov, Jieyang Chen, Norbert Podhorszki, Fred Suter, Scott Klasky, Anu G Bourgeois, Lipeng Wan
https://arxiv.org/abs/2506.17084

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows
In modern science, the growing complexity of large-scale projects has increased reliance on cross-facility workflows, where institutions share resources and expertise to accelerate discovery. These workflows often involve transferring massive data over wide-area networks. While high-speed networks like ESnet and data transfer services like Globus have improved data mobility, challenges remain. Large data volumes can strain bandwidth, TCP suffers from retransmissions due to packet loss, and trad…

Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network
Bibo Wu, Fang Fang, Ming Zeng, Xianbin Wang
https://arxiv.org/abs/2508.15821 https…

Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network
Leveraging pinching antennas in wireless network enabled federated learning (FL) can effectively mitigate the common "straggler" issue in FL by dynamically establishing strong line-of-sight (LoS) links on demand. This letter proposes a hybrid conventional and pinching antenna network (HCPAN) to significantly improve communication efficiency in the non-orthogonal multiple access (NOMA)-enabled FL system. Within this framework, a fuzzy logic-based client classification scheme is first proposed to…

Maximally Resilient Controllers under Temporal Logic Specifications
Youssef Ait Si, Ratnangshu Das, Negar Monir, Sadegh Soudjani, Pushpak Jagtap, Adnane Saoud
https://arxiv.org/abs/2509.01777

Maximally Resilient Controllers under Temporal Logic Specifications
In this paper, we consider the notion of resilience of a dynamical system, defined by the maximum disturbance a controlled dynamical system can withstand while satisfying given temporal logic specifications. Given a dynamical system and a specification, the objective is to synthesize the controller such that the closed-loop system satisfies this specification while maximizing its resilience. The problem is formulated as a robust optimization program where the objective is to compute the maximum…

Multiple-Noise-Resilient Nonadiabatic Geometric Quantum Control of Solid-State Spins in Diamond
Si-Qi Chen, Qi-Tao Duan, Chengxian Zhang, He Lu
https://arxiv.org/abs/2508.12221 …

Multiple-Noise-Resilient Nonadiabatic Geometric Quantum Control of Solid-State Spins in Diamond
Reliable and robust control lies at the core of implementing quantum information processing with diamond nitrogen-vacancy (NV) centers. However, control pulses inevitably introduce multiple errors, leading to decoherence and hindering scalable applications. Here, we experimentally report an experiment-friendly multiple-noise-resilient nonadiabatic geometric quantum gate~(MNR-NGQG) that can significantly improve conventional dynamical gate in both robustness and coherence. Notably, even when the…

Scalable and Energy-Efficient Predictive Data Collection in Wireless Sensor Networks with Constructive Interference
Conor Muldoon
https://arxiv.org/abs/2508.07882 https://

Scalable and Energy-Efficient Predictive Data Collection in Wireless Sensor Networks with Constructive Interference
A new class of Wireless Sensor Network has emerged whereby multiple nodes transmit data simultaneously, exploiting constructive interference to enable data collection frameworks with low energy usage and latency. This paper presents STAIR (Spatio-Temporal Activation for Intelligent Relaying), a scalable, resilient framework for Wireless Sensor Networks that leverages constructive interference and operates effectively under stringent resource constraints. Using constructive interference requires…

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Tianheng Ling, Vipin Singh, Chao Qian, Felix Biessmann, Gregor Schiele
https://arxiv.org/abs/2508.13905

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Extreme weather events, intensified by climate change, increasingly challenge aging combined sewer systems, raising the risk of untreated wastewater overflow. Accurate forecasting of sewer overflow basin filling levels can provide actionable insights for early intervention, helping mitigating uncontrolled discharge. In recent years, AI-based forecasting methods have offered scalable alternatives to traditional physics-based models, but their reliance on cloud computing limits their reliability …

FORTA: Byzantine-Resilient FL Aggregation via DFT-Guided Krum
Usayd Shahul, J. Harshan
https://arxiv.org/abs/2507.14588 https://arxiv…

FORTA: Byzantine-Resilient FL Aggregation via DFT-Guided Krum
Secure federated learning enables collaborative model training across decentralized users while preserving data privacy. A key component is secure aggregation, which keeps individual updates hidden from both the server and users, while also defending against Byzantine users who corrupt the aggregation. To this end, Jinhyun So et al. recently developed a Byzantine-resilient secure aggregation scheme using a secret-sharing strategy over finite-field arithmetic. However, such an approach can suffe…

Decentralized online stochastic generalized Nash Equilibrium seeking for multi-cluster games: A Byzantine-resilient algorithm
Bingqian Liu, Guanghui Wen, Liyuan Chen, Yiguang Hong
https://arxiv.org/abs/2507.22357

Decentralized online stochastic generalized Nash Equilibrium seeking for multi-cluster games: A Byzantine-resilient algorithm
This paper addresses the challenge of solving the generalized Nash Equilibrium seeking problem for decentralized stochastic online multi-cluster games amidst Byzantine agents. During the game process, each honest agent is influenced by both randomness and malicious information propagated by Byzantine agents. Additionally, none of the agents have prior knowledge about the number and identities of Byzantine agents. Furthermore, the stochastic local cost function and coupled global constraint func…

Climate-Resilient Ports and Waterborne Transport Systems: Current Status and Future Prospects
Nadia Pourmohammad-Zia, Mark van Koningsveld
https://arxiv.org/abs/2508.19387 https…

Climate-Resilient Ports and Waterborne Transport Systems: Current Status and Future Prospects
The increasing challenges posed by climate change necessitate a comprehensive examination of the resilience of waterborne transport systems. This paper explores the nexus of climate resilience, and waterborne transport, addressing the challenges faced by ports and their connecting waterborne transport systems. It provides an in-depth analysis of the current status of climate-resilient infrastructure and operations while emphasizing the transformative potential of emerging technologies. Through …

Byzantine-Resilient Distributed Computation via Task Replication and Local Computations
Aayush Rajesh, Nikhil Karamchandani, Vinod M. Prabhakaran
https://arxiv.org/abs/2507.16014

Byzantine-Resilient Distributed Computation via Task Replication and Local Computations
We study a distributed computation problem in the presence of Byzantine workers where a central node wishes to solve a task that is divided into independent sub-tasks, each of which needs to be solved correctly. The distributed computation is achieved by allocating the sub-task computation across workers with replication, as well as solving a small number of sub-tasks locally, which we wish to minimize due to it being expensive. For a general balanced job allocation, we propose a protocol that …

Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent
Che Rin Yu, Daewon Chae, Dabin Seo, Sangwon Lee, Hyeongwoo Im, Jinkyu Kim
https://arxiv.org/abs/2508.11286

Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent
When humans perform everyday tasks, we naturally adjust our actions based on the current state of the environment. For instance, if we intend to put something into a drawer but notice it is closed, we open it first. However, many autonomous robots lack this adaptive awareness. They often follow pre-planned actions that may overlook subtle yet critical changes in the scene, which can result in actions being executed under outdated assumptions and eventual failure. While replanning is critical fo…

ML-MaxProp: Bridging Machine Learning and Delay-Tolerant Routing for Resilient Post-Disaster Communication
Tao Xiuyuan, Milena Radenkovic
https://arxiv.org/abs/2508.20077 https:…

ML-MaxProp: Bridging Machine Learning and Delay-Tolerant Routing for Resilient Post-Disaster Communication
In disaster-stricken and large-scale urban emergency scenarios, ensuring reliable communication remains a formidable challenge, as collapsed infrastructure, unpredictable mobility, and severely constrained resources disrupt conventional networks. Delay-Tolerant Networks (DTNs), though resilient through their store-carry-forward paradigm, reveal the fundamental weaknesses of classical protocols - Epidemic, Spray-and-Wait, and MaxProp - when confronted with sparse encounters, buffer shortages, an…

Temperature-Resilient Reconfigurable PUF with Dual-Pulse Modulation based on SOT-MRAM Chip
Min Wang, Chuanpeng Jiang, Zhaohao Wang, Zhengyi Hou, Zhongkui Zhang, Yuanfu Zhao, Hongxi Liu, Weisheng Zhao
https://arxiv.org/abs/2508.16405

Temperature-Resilient Reconfigurable PUF with Dual-Pulse Modulation based on SOT-MRAM Chip
In the Internet of Things (IoT) era, hardware-based security solutions have become an emerging choice for enhancing end-terminal information security. As one of the hardware technologies, physical unclonable functions (PUFs) utilize the inherent variations in the manufacturing process to generate cryptographic keys. Reconfigurable PUFs (rPUFs), characterized by updating cryptographic keys, offer enhanced security ability for protecting massive amounts of data in dynamic operational scenarios. T…

Transient Stability-Driven Planning for the Optimal Sizing of Resilient AC/DC Hybrid Microgrids
Yi Wang, Goran Strbac
https://arxiv.org/abs/2507.17110 https://

Transient Stability-Driven Planning for the Optimal Sizing of Resilient AC/DC Hybrid Microgrids
This paper proposes a transient stability-driven planning framework for the optimal sizing problem of resilient AC/DC hybrid microgrids (HMGs) under different types of contingencies, capturing frequency and voltage stability requirements as well as the frequency-voltage coupling dynamics of AC/DC interlinking converters (ICs). The planning model is formulated into a defender-attacker-defender (DAD) architecture, which can be further merged into two levels, i.e., upper-level and low-level proble…

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
Gabriel M. O. Vieira, Nelson Maculan, Franklin de L. Marquezino
https://arxiv.org/abs/2508.13462 https://

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
Quantum walks are a powerful framework for the development of quantum algorithms, with lackadaisical quantum walks (LQWs) standing out as an efficient model for spatial search. In this work, we investigate how broken-link decoherence affects the performance of LQW-based search on a two-dimensional toroidal grid. We show through numerical simulations that, while decoherence drives the loopless walk toward a uniform distribution and eliminates its search capability, the inclusion of self-loops si…

Resilient Communication For Avalanche Response in Infrastructure-Limited Environments
Joshua Goulton, Milena Radenkovic
https://arxiv.org/abs/2506.22148 ht…

Resilient Communication For Avalanche Response in Infrastructure-Limited Environments
Delay Tolerant Networks (DTNs) offer a promising paradigm for maintaining communication in infrastructure limited environments, such as those encountered during natural disasters. This paper investigates the viability of leveraging an existing national transport system - the Swiss rail network - as a data mule backbone for disseminating critical avalanche alerts. Using The Opportunistic Network Environment (ONE) simulator, we model the entire Swiss rail network and conduct a rigorous comparativ…

Making congestion control robust to per-packet load balancing in datacenters
Barak Gerstein, Mark Silberstein, Isaac Keslassy
https://arxiv.org/abs/2509.07907 https://

Making congestion control robust to per-packet load balancing in datacenters
Per-packet load-balancing approaches are increasingly deployed in datacenter networks. However, their combination with existing congestion control algorithms (CCAs) may lead to poor performance, and even state-of-the-art CCAs can collapse due to duplicate ACKs. A typical approach to handle this collapse is to make CCAs resilient to duplicate ACKs. In this paper, we first model the throughput collapse of a wide array of CCAs when some of the paths are congested. We show that addressing duplica…