Tootfinder

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 …

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…

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…

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…

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…

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

Integrated thin film lithium niobate mid-infrared modulator
Pierre Didier, Prakhar Jain, Mathieu Bertrand, Jost Kellner, Oliver Pitz, Zhecheng Dai, Mathias Beck, Baile Chen, Jerome Faist, Rachel Grange
https://arxiv.org/abs/2505.23632

Integrated thin film lithium niobate mid-infrared modulator
The mid-infrared spectral range holds great promise for applications such as molecular spectroscopy and telecommunications. Many key molecules exhibit strong absorption features in this range, and free-space optical communication benefits from reduced atmospheric attenuation and low transmission losses in specific wavelength bands spanning from 3 to 14 μm. Recent progress in MIR photonics has been fuelled by the rapid development of efficient light sources and detectors. However, further advan…

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…

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…

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…

tech nerdery
I mean this: if every receiver just connected to its source when it was ready, and we hadn't made short-timeout stateful firewalls everywhere, we'd have to deploy SO MANY fewer weird one-off services just to receive something.
Instead we have to provision certificates and public facing hostnames to get communication going. Backend development is so much more complex and less robust because of it.

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…

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…

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 …

“I witnessed how they put my father in handcuffs, chained him from the waist and from his ankles,”
Contreras said at a press conference in LA on Monday morning.
“My family and I haven’t had communication with my dad.
We don’t know anything.”
Jacob and Romero were among dozens of people arrested in immigration enforcement actions in Los Angeles this weekend,
raids that sparked a roaring backlash and eventually led to the deployment of the national guard in the ci…

Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles
Keshawn Smith, Zhili Zhang, H M Sabbir Ahmad, Ehsan Sabouni, Maniak Mondal, Song Han, Wenchao Li, Fei Miao
https://arxiv.org/abs/2506.00982

Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles
Deep multi-agent reinforcement learning (MARL) has been demonstrated effectively in simulations for many multi-robot problems. For autonomous vehicles, the development of vehicle-to-vehicle (V2V) communication technologies provide opportunities to further enhance safety of the system. However, zero-shot transfer of simulator-trained MARL policies to hardware dynamic systems remains challenging, and how to leverage communication and shared information for MARL has limited demonstrations on hardw…

It's frustrating how many important services and channels of communication rely on questionable tech. For example, my neighbourhood uses Meta's WhatsApp to the point where if I hadn't accessed the chat I wouldn't have had an ETA on reactivation of our hot water that was out for several days. For this purpose, I've made a slight compromise (using a different phone number). But I'd like to #AskFedi

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…

Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
Niv Eckhaus, Uri Berger, Gabriel Stanovsky
https://arxiv.org/abs/2506.05309 ht…

Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
LLMs are used predominantly in synchronous communication, where a human user and a model communicate in alternating turns. In contrast, many real-world settings are inherently asynchronous. For example, in group chats, online team meetings, or social games, there is no inherent notion of turns; therefore, the decision of when to speak forms a crucial part of the participant's decision making. In this work, we develop an adaptive asynchronous LLM-agent which, in addition to determining what to s…

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…

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
Mrinmay Sen, Chalavadi Krishna Mohan
https://arxiv.org/abs/2506.07159

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
Personalized Federated Learning (PFL) enables clients to collaboratively train personalized models tailored to their individual objectives, addressing the challenge of model generalization in traditional Federated Learning (FL) due to high data heterogeneity. However, existing PFL methods often require increased communication rounds to achieve the desired performance, primarily due to slow training caused by the use of first-order optimization, which has linear convergence. Additionally, many o…

Comparing Retrieval Strategies to Capture Interdisciplinary Scientific Research: A Bibliometric Evaluation of the Integration of Neuroscience and Computer Science
Malena Mendez Isla, Agustin Mauro, Diego Kozlowski
https://arxiv.org/abs/2506.03187

Comparing Retrieval Strategies to Capture Interdisciplinary Scientific Research: A Bibliometric Evaluation of the Integration of Neuroscience and Computer Science
Interdisciplinary scientific research is increasingly important in knowledge production, funding policies, and academic discussions on scholarly communication. While many studies focus on interdisciplinary corpora defined a priori - usually through keyword-based searches within assumed interdisciplinary domains - few explore interdisciplinarity as an emergent intersection between two distinct fields. Thus, methodological proposals for building databases at the intersection of two fields of know…

Control Signaling for Reconfigurable Intelligent Surfaces: How Many Bits are Needed?
Anders Enqvist, \"Ozlem Tu\u{g}fe Demir, Cicek Cavdar, Emil Bj\"ornson
https://arxiv.org/abs/2506.03929

Control Signaling for Reconfigurable Intelligent Surfaces: How Many Bits are Needed?
Reconfigurable intelligent surfaces (RISs) can greatly improve the signal quality of future communication systems by reflecting transmitted signals toward the receiver. However, even when the base station (BS) has perfect channel knowledge and can compute the optimal RIS phase-shift configuration, implementing this configuration requires feedback signaling over a control channel from the BS to the RIS. This feedback must be kept minimal, as it is transmitted wirelessly every time the channel ch…

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…

Synopsis: Secure and private trend inference from encrypted semantic embeddings
Madelyne Xiao, Palak Jain, Micha Gorelick, Sarah Scheffler
https://arxiv.org/abs/2505.23880

Synopsis: Secure and private trend inference from encrypted semantic embeddings
WhatsApp and many other commonly used communication platforms guarantee end-to-end encryption (E2EE), which requires that service providers lack the cryptographic keys to read communications on their own platforms. WhatsApp's privacy-preserving design makes it difficult to study important phenomena like the spread of misinformation or political messaging, as users have a clear expectation and desire for privacy and little incentive to forfeit that privacy in the process of handing over raw data…

Covert Entanglement Generation over Bosonic Channels
Evan J. D. Anderson, Michael S. Bullock, Ohad Kimelfeld, Christopher K. Eyre, Filip Rozp\k{e}dek, Uzi Pereg, Boulat A. Bash
https://arxiv.org/abs/2506.09474

Covert Entanglement Generation over Bosonic Channels
We explore covert entanglement generation over the lossy thermal-noise bosonic channel, which is a quantum-mechanical model of many practical settings, including optical, microwave, and radio-frequency (RF) channels. Covert communication ensures that an adversary is unable to detect the presence of transmissions, which are concealed in channel noise. We show that a $\textit{square root law}$ (SRL) for covert entanglement generation similar to that for classical: $L_{\rm EG}\sqrt{n}$ entangled b…

Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research
Shahram Pourdehghan, Nahideh Derakhshanfard
https://arxiv.org/abs/2506.05742

Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research
Wireless communication provides great advantages that are not available through their wired counterparts such as flexibility, ease of deployment and use, cost reductions, and convenience. Wireless multi-hop networks (WMN) do not have any centralized management infrastructure. Wireless multi-hop networks have many benefits since proposed. In such networks when a node wants to send a packet to a destination where is not in the transmission range, depend on some intermediate nodes. In this type of…

This https://arxiv.org/abs/2505.23632 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Integrated thin film lithium niobate mid-infrared modulator
The mid-infrared spectral range holds great promise for applications such as molecular spectroscopy and telecommunications. Many key molecules exhibit strong absorption features in this range, and free-space optical communication benefits from reduced atmospheric attenuation and low transmission losses in specific wavelength bands spanning from 3 to 14 μm. Recent progress in MIR photonics has been fuelled by the rapid development of efficient light sources and detectors. However, further advan…

This https://arxiv.org/abs/2402.05625 has been replaced.
link: https://scholar.google.com/scholar?q=a

Coded Many-User Multiple Access via Approximate Message Passing
We consider communication over the Gaussian multiple-access channel in the regime where the number of users grows linearly with the codelength. In this regime, schemes based on sparse superposition coding can achieve a near-optimal tradeoff between spectral efficiency and signal-to-noise ratio. However, these schemes are feasible only for small values of user payload. This paper investigates efficient schemes for larger user payloads, focusing on coded CDMA schemes where each user's information…

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…

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 …