Tootfinder

System design and realisation towards optimising secure key bits in free space QKD
Pooja Chandravanshi, Jayanth Ramakrishnan, Tanya Sharma, Ayan Biswas, Ravindra P. Singh
https://arxiv.org/abs/2508.10458

System design and realisation towards optimising secure key bits in free space QKD
Quantum Key Distribution (QKD) is rapidly transitioning from cutting-edge laboratory research to real-world deployment in established communication networks. Although QKD promises future-proof security, practical challenges stil exist due to imperfections in physical devices. Many protocols offer strong security guarantees, but their implementation can be complex and difficult. To bridge this gap, we present a practical and systematic framework for implementing QKD, focused on the BB84 protocol…

Towards an AI-based knowledge assistant for goat farmers based on Retrieval-Augmented Generation
Nana Han, Dong Liu, Tomas Norton
https://arxiv.org/abs/2509.09848 https://

Towards an AI-based knowledge assistant for goat farmers based on Retrieval-Augmented Generation
Large language models (LLMs) are increasingly being recognised as valuable knowledge communication tools in many industries. However, their application in livestock farming remains limited, being constrained by several factors not least the availability, diversity and complexity of knowledge sources. This study introduces an intelligent knowledge assistant system designed to support health management in farmed goats. Leveraging the Retrieval-Augmented Generation (RAG), two structured knowledge …

Empirical Evaluation of Memory-Erasure Protocols
Reynaldo Gil-Pons, Sjouke Mauw, Rolando Trujillo-Rasua
https://arxiv.org/abs/2509.10224 https://arxiv.org/…

Empirical Evaluation of Memory-Erasure Protocols
Software-based memory-erasure protocols are two-party communication protocols where a verifier instructs a computational device to erase its memory and send a proof of erasure. They aim at guaranteeing that low-cost IoT devices are free of malware by putting them back into a safe state without requiring secure hardware or physical manipulation of the device. Several software-based memory-erasure protocols have been introduced and theoretically analysed. Yet, many of them have not been tested fo…

Qualitative Assessment of Low Power Wide Area Network Protocols and their Security Aspect
Wesley dos Reis Bezerra, Lais Machado Bezerra, Carlos Becker Westphal
https://arxiv.org/abs/2507.08677

Qualitative Assessment of Low Power Wide Area Network Protocols and their Security Aspect
There are currently many communication options in the Internet of Things, even in particular areas such as constrained and battery-powered devices, such as Low Power Wide Area Networks. Understanding the differences and characteristics of each option is a challenge, even for professionals and researchers in the field. To meet this need, this work analyses the qualitative characteristics of Low Power Wide Area Network protocols and the challenges and opportunities of using constrained devices fo…

Human-in-the-loop Learning Through Decentralized Communication Mechanisms
Yiting Hu, Lingjie Duan
https://arxiv.org/abs/2509.09574 https://arxiv.org/pdf/25…

Human-in-the-loop Learning Through Decentralized Communication Mechanisms
Information sharing platforms like TripAdvisor and Waze involve human agents as both information producers and consumers. All these platforms operate in a centralized way to collect agents' latest observations of new options (e.g., restaurants, hotels, travel routes) and share such information with all in real time. However, after hearing the central platforms' live updates, many human agents are found selfish and unwilling to further explore unknown options for the benefit of others in the lon…

Anomalies in #space: A silent risk to critical infrastructure
30 July 2025
"The Earth’s #ionosphere an electrified layer of the upper atmosphere, is a vital part of our space environment. It enables or interferes with many of the technologies we rely on daily, such as …

As a marketer by profession I feel this very deeply and struggle to find a way to communicate to fellow people on the left that the methods and tools for communicating messages and persuading masses of people SHOULD be used, as effectively as possible, to promote facts and values we align with.
I get that power is uncomfortable when so many parties visibly abuse it for malicious purposes.
But power in and of itself is a tools that needs to be wielded, and we should be cognizant about targeting it at changes that will improve our societies and help us and the planet.
Yes, don’t use power blindly. Don’t manipulate people. But using persuasive, effective tactics for mass communication to educate people on the truth and get them aboard initiatives that will help them??? Why is that evil?
It feels like the left sees power, influence, and thus marketing / PR / propaganda as too black-and-white. We need to be comfortable in navigating the grey. https://sauropods.win/@futurebird/114913847088444610

Towards Efficient and Scalable Distributed Vector Search with RDMA
Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
https://arxiv.org/abs/2507.06653

Towards Efficient and Scalable Distributed Vector Search with RDMA
Similarity-based vector search facilitates many important applications such as search and recommendation but is limited by the memory capacity and bandwidth of a single machine due to large datasets and intensive data read. In this paper, we present CoTra, a system that scales up vector search for distributed execution. We observe a tension between computation and communication efficiency, which is the main challenge for good scalability, i.e., handling the local vectors on each machine indepen…

Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
Cynthia Zastudil, Christine Holyfield, Christine Kapp, Kate Hamilton, Kriti Baru, Liam Newsam, June A. Smith, Stephen MacNeil
https://arxiv.org/abs/2507.21811

Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
Augmentative and alternative communication (AAC) devices are used by many people around the world who experience difficulties in communicating verbally. One AAC device which is especially useful for minimally verbal autistic children in developing language and communication skills are visual scene displays (VSD). VSDs use images with interactive hotspots embedded in them to directly connect language to real-world contexts which are meaningful to the AAC user. While VSDs can effectively support …

Happy Birthday, Linux!
🎁🎂🎈 🥳
I first installed Linux on my computer many months after that announcement, in December 1992. I have memories of swapping an almost endless pack of floppy disks during the lengthy install at a Chaos Communication Congress in Hamburg, Germany. The album “Connected” by Stereo MC's was playing several times until I was finally greeted with a shell prompt.

Cyber-Physical Co-Simulation of Load Frequency Control under Load-Altering Attacks
Micha{\l} Forystek, Andrew D. Syrmakesis, Alkistis Kontou, Panos Kotsampopoulos, Nikos D. Hatziargyriou, Charalambos Konstantinou
https://arxiv.org/abs/2508.00637

Cyber-Physical Co-Simulation of Load Frequency Control under Load-Altering Attacks
Integrating Information and Communications Technology (ICT) devices into the power grid brings many benefits. However, it also exposes the grid to new potential cyber threats. Many control and protection mechanisms, such as Load Frequency Control (LFC), responsible for maintaining nominal frequency during load fluctuations and Under Frequency Load Shedding (UFLS) disconnecting portion of the load during an emergency, are dependent on information exchange through the communication network. The r…

Robustness to noise and erasures of Gabor frames in finite dimensions
Palina Salanevich, Nigel Q. D. Strachan
https://arxiv.org/abs/2509.01325 https://arxi…

Robustness to noise and erasures of Gabor frames in finite dimensions
In this paper, we investigate the robustness of structured frames to measurement noise and erasures, with the focus on Gabor frames $(g, Λ)$ with arbitrary sets of time-frequency shifts $Λ$. This property of frames is important in many signal processing applications, from wireless communication to phase retrieval and quantization. We aim to analyze the dependence of the frame bounds of such frames on their structure and cardinality and provide constructions of nearly tight Gabor frames with s…

Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
Molly Wang
https://arxiv.org/abs/2507.22174 https://arxiv.org/pdf/25…

Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
Reinforcement Learning (RL) has become a well-established approach for optimizing packet routing in communication networks. Standard RL algorithms typically are based on the Markov Decision Process (MDP), which assumes that the current state of the environment provides all the necessary information for system evolution and decision-making. However, this Markovian assumption is invalid in many practical scenarios, making the MDP and RL frameworks inadequate to produce the optimal solutions. Addi…

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training
Yangtao Deng, Lei Zhang, Qinlong Wang, Xiaoyun Zhi, Xinlei Zhang, Zhuo Jiang, Haohan Xu, Lei Wang, Zuquan Song, Gaohong Liu, Yang Bai, Shuguang Wang, Wencong Xiao, Jianxi Ye, Minlan Yu, Hong Xu
https://arxiv.org/abs/2509.03018

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training
Reliability is essential for ensuring efficiency in LLM training. However, many real-world reliability issues remain difficult to resolve, resulting in wasted resources and degraded model performance. Unfortunately, today's collective communication libraries operate as black boxes, hiding critical information needed for effective root cause analysis. We propose Mycroft, a lightweight distributed tracing and root cause analysis system designed to address previously hidden reliability issues in c…

Efficient certification of high-dimensional entanglement
Yiwen Wu, Zihao Li, Huangjun Zhu
https://arxiv.org/abs/2508.05484 https://arxiv.org/pdf/2508.05484…

Efficient certification of high-dimensional entanglement
High-dimensional entanglement (HDE) is a valuable resource in quantum information processing, and efficient certification of HDE is crucial to many applications. In this work, we propose a simple and general framework for certifying HDE in general bipartite pure states under restricted operations, such as local operations and classical communication (LOCC). On this basis we show that HDE in general bipartite pure states can be certified efficiently. Moreover, the sample cost for certifying a gi…

Protecting Legacy Wireless Systems Against Interference: Precoding and Codebook Approaches Using Massive MIMO and Region Constraints
Sameer Mathad, Taejoon Kim, David J. Love
https://arxiv.org/abs/2509.02819

Protecting Legacy Wireless Systems Against Interference: Precoding and Codebook Approaches Using Massive MIMO and Region Constraints
The ever-increasing demand for high-speed wireless communication has generated significant interest in utilizing frequency bands that are adjacent to those occupied by legacy wireless systems. Since the legacy wireless systems were designed based on often decades-old assumptions about wireless interference, utilizing these new bands will result in interference with the existing legacy users. Many of these legacy wireless devices are used by critical infrastructure networks upon which society de…

Accurate identification of communication between multiple interacting neural populations
Belle Liu, Jacob Sacks, Matthew D. Golub
https://arxiv.org/abs/2506.19094

Accurate identification of communication between multiple interacting neural populations
Neural recording technologies now enable simultaneous recording of population activity across many brain regions, motivating the development of data-driven models of communication between brain regions. However, existing models can struggle to disentangle the sources that influence recorded neural populations, leading to inaccurate portraits of inter-regional communication. Here, we introduce Multi-Region Latent Factor Analysis via Dynamical Systems (MR-LFADS), a sequential variational autoenco…

Human Capital Visualization using Speech Amount during Meetings
Ekai Hashimoto, Takeshi Mizumoto, Kohei Nagira, Shun Shiramatsu
https://arxiv.org/abs/2508.02075 https://

Human Capital Visualization using Speech Amount during Meetings
In recent years, many companies have recognized the importance of human resources and are investing in human capital to revitalize their organizations and enhance internal communication, thereby fostering innovation. However, conventional quantification methods have mainly focused on readily measurable indicators without addressing the fundamental role of conversations in human capital. This study focuses on routine meetings and proposes strategies to visualize human capital by analyzing speech…

Collusion-Resilient Hierarchical Secure Aggregation with Heterogeneous Security Constraints
Zhou Li, Xiang Zhang, Jiawen Lv, Jihao Fan, Haiqiang Chen, Giuseppe Caire
https://arxiv.org/abs/2507.14768

Collusion-Resilient Hierarchical Secure Aggregation with Heterogeneous Security Constraints
Motivated by federated learning (FL), secure aggregation (SA) aims to securely compute, as efficiently as possible, the sum of a set of inputs distributed across many users. To understand the impact of network topology, hierarchical secure aggregation (HSA) investigated the communication and secret key generation efficiency in a 3-layer relay network, where clusters of users are connected to the aggregation server through an intermediate layer of relays. Due to the pre-aggregation of the messag…

Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality
Mohammad Reza Rahmani, Mohammad Hossein Yassaee, Mohammad Reza Aref
https://arxiv.org/abs/2507.16953

Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality
Estimating high-dimensional covariance matrices is a key task across many fields. This paper explores the theoretical limits of distributed covariance estimation in a feature-split setting, where communication between agents is constrained. Specifically, we study a scenario in which multiple agents each observe different components of i.i.d. samples drawn from a sub-Gaussian random vector. A central server seeks to estimate the complete covariance matrix using a limited number of bits communica…

CAN Networks Security in Smart Grids Communication Technologies
Ayman W. Baharia, Khaled T. Naga, Hesham S. Abdelfattah, Shady A. Maged, Sherif A. Hammad
https://arxiv.org/abs/2508.12181

CAN Networks Security in Smart Grids Communication Technologies
The rapid evolution of smart grids requires effective communication protocols to transfer data reliably and securely. Controller Area Network (CAN) is one of the most recognized protocols that offer reliable data transmission in smart grids due to its robustness, real-time capabilities, and relatively low initial cost of its required hardware. However, as a smart city becomes more interconnected, it also becomes more vulnerable to cyber-attacks. As there are many mechanisms to secure the CAN no…

Minimizing CGYRO HPC Communication Costs in Ensembles with XGYRO by Sharing the Collisional Constant Tensor Structure
Igor Sfiligoi, Emily A. Belli, Jeff Candy
https://arxiv.org/abs/2507.22245

Minimizing CGYRO HPC Communication Costs in Ensembles with XGYRO by Sharing the Collisional Constant Tensor Structure
First-principles fusion plasma simulations are both compute and memory intensive, and CGYRO is no exception. The use of many HPC nodes to fit the problem in the available memory thus results in significant communication overhead, which is hard to avoid for any single simulation. That said, most fusion studies are composed of ensembles of simulations, so we developed a new tool, named XGYRO, that executes a whole ensemble of CGYRO simulations as a single HPC job. By treating the ensemble as a un…

Seeing through randomness with topological light
Cade Peters, Kelsey Everts, Tatjana Kleine, Pedro Ornelas, Andrew Forbes
https://arxiv.org/abs/2508.12305 https://

Seeing through randomness with topological light
Transmitting structured light robustly through complex random media is crucial in many applications, from sensing to communication. Unfortunately, the spatial structure of light is distorted in such media due to refractive index inhomogeneities that cause multiple scattering, requiring mitigating strategies such as iterative optimisation and adaptive optics. Here, we use topological light to see through random media without the need for any corrective measures. Using skyrmions as our optical to…

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
Ama Bandara, Abhijit Das, Fatima Rodriguez-Galan, Eduard Alarcon, Sergi Abadal
https://arxiv.org/abs/2506.19487

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
As chiplet-based integration and many-core architectures become the norm in high-performance computing, on-chip wireless communication has emerged as a compelling alternative to traditional interconnects. However, scalable Medium Access Control (MAC) remains a fundamental challenge, particularly under dense traffic and limited spectral resources. This paper presents TRMAC, a novel cross-layer MAC protocol that exploits the spatial focusing capability of Time Reversal (TR) to enable multiple par…

Cryptanalysis of LC-MUME: A Lightweight Certificateless Multi-User Matchmaking Encryption for Mobile Devices
Ramprasad Sarkar
https://arxiv.org/abs/2507.22674 https://

Cryptanalysis of LC-MUME: A Lightweight Certificateless Multi-User Matchmaking Encryption for Mobile Devices
Yang et al. proposed a lightweight certificateless multiuser matchmaking encryption (LC-MUME) scheme for mobile devices, published in IEEE Transactions on Information Forensics and Security (TIFS) (DOI: 10.1109/TIFS.2023.3321961). Their construction aims to reduce computational and communication overhead within a one-to-many certificateless cryptographic framework. The authors claim that their scheme satisfies existential unforgeability under chosen-message attacks (EUF-CMA) in the random oracl…

How to share Multipartite Entanglement in a Real-World Linear Network Connecting Two Metropoles
Janka Memmen, Anna Pappa
https://arxiv.org/abs/2507.17480 https://

How to share Multipartite Entanglement in a Real-World Linear Network Connecting Two Metropoles
The development of large-scale quantum communication networks necessitates the efficient distribution of quantum states to enable advanced cryptographic applications and distributed tasks. Multipartite entanglement is a key resource in many of these proposals, yet its generation is experimentally challenging, especially in noisy and lossy networks. While a substantial body of work focuses on the distribution of multi-partite entanglement in star-like topologies, practical implementations often …

Examining MPI and its Extensions for Asynchronous Multithreaded Communication
Jiakun Yan, Marc Snir, Yanfei Guo
https://arxiv.org/abs/2508.18667 https://ar…

Examining MPI and its Extensions for Asynchronous Multithreaded Communication
The increasing complexity of HPC architectures and the growing adoption of irregular scientific algorithms demand efficient support for asynchronous, multithreaded communication. This need is especially pronounced with Asynchronous Many-Task (AMT) systems. This communication pattern was not a consideration during the design of the original MPI specification. The MPI community has recently introduced several extensions to address these evolving requirements. This work evaluates two such extensio…

Beyond Diagonal Reconfigurable Intelligent Surface Enabled Sensing: Cramer-Rao Bound Optimization
Xiaoqi Zhang, Liang Liu, Shuowen Zhang, Haijun Zhang
https://arxiv.org/abs/2508.11292

Beyond Diagonal Reconfigurable Intelligent Surface Enabled Sensing: Cramer-Rao Bound Optimization
Recently, beyond diagonal reconfigurable intelligent surface (BD-RIS) has emerged as a more flexible solution to engineer the wireless propagation channels, thanks to its non-diagonal reflecting matrix. Although the gain of the BD-RIS over the conventional RIS in communication has been revealed in many works, its gain in 6G sensing is still unknown. This motivates us to study the BD-RIS assisted sensing in this letter. Specifically, we derive the Cramer-Rao bound (CRB) for estimating the angle-…

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs
Mansi Sood, Eray Can Elumar, Osman Yagan
https://arxiv.org/abs/2508.11863

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs
In several applications in distributed systems, an important design criterion is ensuring that the network is sparse, i.e., does not contain too many edges, while achieving reliable connectivity. Sparsity ensures communication overhead remains low, while reliable connectivity is tied to reliable communication and inference on decentralized data reservoirs and computational resources. A class of network models called random K-out graphs appear widely as a heuristic to balance connectivity and sp…

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation
Md Tariquzzaman, Md Farhan Ishmam, Saiyma Sittul Muna, Md Kamrul Hasan, Hasan Mahmud
https://arxiv.org/abs/2508.16076

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation
Sign Language (SL) enables two-way communication for the deaf and hard-of-hearing community, yet many sign languages remain under-resourced in the AI space. Sign Language Instruction Generation (SLIG) produces step-by-step textual instructions that enable non-SL users to imitate and learn SL gestures, promoting two-way interaction. We introduce BdSLIG, the first Bengali SLIG dataset, used to evaluate Vision Language Models (VLMs) (i) on under-resourced SLIG tasks, and (ii) on long-tail visual c…

Stealtooth: Breaking Bluetooth Security Abusing Silent Automatic Pairing
Keiichiro Kimura, Hiroki Kuzuno, Yoshiaki Shiraishi, Masakatu Morii
https://arxiv.org/abs/2507.00847

Stealtooth: Breaking Bluetooth Security Abusing Silent Automatic Pairing
Bluetooth is a pervasive wireless communication technology used by billions of devices for short-range connectivity. The security of Bluetooth relies on the pairing process, where devices establish shared long-term keys for secure communications. However, many commercial Bluetooth devices implement automatic pairing functions to improve user convenience, creating a previously unexplored attack surface. We present Stealtooth, a novel attack that abuses unknown vulnerabilities in the automatic …

The Throughput Gain of Hypercycle-level Resource Reservation for Time-Triggered Ethernet
Peng Wang, Suman Sourav, Binbin Chen, Hongyan Li, Feng Wang, Fan Zhang
https://arxiv.org/abs/2506.11745

The Throughput Gain of Hypercycle-level Resource Reservation for Time-Triggered Ethernet
Time-Triggered Communication is a key technology for many safety-critical systems, with applications spanning the areas of aerospace and industrial control. Such communication relies on time-triggered flows, with each flow consisting of periodic packets originating from a source and destined for a destination node. Each packet needs to reach its destination before its deadline. Different flows can have different cycle lengths. To achieve assured transmission of time-triggered flows, existing ef…

Selective filtering of multi-photon events from a single-photon emitter
Friedrich Sbresny, Carolin Calcagno, Sang Kyu Kim, Katarina Boos, William Rauhaus, Frederik Bopp, Hubert Riedl, Jonathan J. Finley, Eduardo Zubizarreta Casalengua, Kai M\"uller
https://arxiv.org/abs/2506.22378

Selective filtering of multi-photon events from a single-photon emitter
Single-photon purity is one of the most important key metrics of many quantum states of light. For applications in photonic quantum technologies, e.g. quantum communication and linear optical quantum computing, a minimization of the multi-photon error rate is required because of its error-introducing nature. Ultimately, the purity of state-of-the-art single-photon sources was found to be limited by spontaneous emission and subsequent reexcitation during the interaction with the driving field. H…

Environmental (in)considerations in the Design of Smartphone Settings
Thomas Thibault, L\'ea Mosesso, Camille Adam, Aur\'elien Tabard, Ana\"elle Beignon, Nolwenn Maudet
https://arxiv.org/abs/2507.19094

Environmental (in)considerations in the Design of Smartphone Settings
Designing for sufficiency is one of many approaches that could foster more moderate and sustainable digital practices. Based on the Sustainable Information and Communication Technologies (ICT) and Human-Computer Interaction (HCI) literature, we identify five environmental settings categories. However, our analysis of three mobile OS and nine representative applications shows an overall lack of environmental concerns in settings design, leading us to identify six pervasive anti-patterns. Environ…

A Group-Theoretic Perspective on the PPT and Realignment Entanglement Criteria
Tobias C. Sutter, Christopher Popp, Beatrix C. Hiesmayr
https://arxiv.org/abs/2508.18393 https://

A Group-Theoretic Perspective on the PPT and Realignment Entanglement Criteria
Entanglement is a key feature in many quantum technologies, including secure communication protocols and quantum computing. However, detecting it in mixed quantum states remains a challenging task. While the PPT and realignment criteria are well-established tools for entanglement detection in general, and are especially effective in Bell-diagonal states, their connection to the underlying group structure of this state family has not been fully explored. In this work, we analyze the PPT and real…

The Performance of Low-Synchronization Variants of Reorthogonalized Block Classical Gram--Schmidt
Erin Carson, Yuxin Ma
https://arxiv.org/abs/2507.21791 https://

The Performance of Low-Synchronization Variants of Reorthogonalized Block Classical Gram--Schmidt
Numerous applications, such as Krylov subspace solvers, make extensive use of the block classical Gram-Schmidt (BCGS) algorithm and its reorthogonalized variants for orthogonalizing a set of vectors. For large-scale problems in distributed memory settings, the communication cost, particularly the global synchronization cost, is a major performance bottleneck. In recent years, many low-synchronization BCGS variants have been proposed in an effort to reduce the number of synchronization points. T…

A Mixed-Order Phase Transition in Continuous-Variable Quantum Networks
Yaqi Zhao, Kan He, Yongtao Zhang, Jinchuan Hou, Jianxi Gao, Shlomo Havlin, Xiangyi Meng
https://arxiv.org/abs/2507.16417

A Mixed-Order Phase Transition in Continuous-Variable Quantum Networks
Quantum networks (QNs) have been predominantly driven by discrete-variable (DV) architectures. Yet, many optical platforms naturally generate Gaussian states--the common states of continuous-variable (CV) systems, making CV-based QNs an attractive route toward scalable, chip-integrated quantum computation and communication. To bridge the conceptual gap between well-studied DV entanglement percolation theories and their CV counterpart, we introduce a Gaussian-to-Gaussian entanglement distributio…

FuSeFL: Fully Secure and Scalable Cross-Silo Federated Learning
Sahar Ghoflsaz Ghinani, Elaheh Sadredini
https://arxiv.org/abs/2507.13591 https://

FuSeFL: Fully Secure and Scalable Cross-Silo Federated Learning
Federated Learning (FL) enables collaborative model training without centralizing client data, making it attractive for privacy-sensitive domains. While existing approaches employ cryptographic techniques such as homomorphic encryption, differential privacy, or secure multiparty computation to mitigate inference attacks-including model inversion, membership inference, and gradient leakage-they often suffer from high computational, communication, or memory overheads. Moreover, many methods overl…