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16 papers in the last four weeks, up 60% on the four weeks before. 0.2% of all new papers.

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  1. FedSAP: Federated Learning with Structured Adaptive Partitioning for Multi-Domain Heterogeneous Edge Devices

    Oct 1, 2026Wentao Yue, Tianyou Lai, Hongji Li +2Heterogeneous Federated LearningFederated Learning

  2. AIR-LLM: Broadcasting AI Weights over Radio for Memory-Free Edge LLM Inference via RF Computing

    Sep 30, 2026Zhihui Gao, Tingjun Chen, Dirk EnglundLLM Inference OptimizationEdge Devices

    Massachusetts Institute of Technology Cambridge, MA, USA · Duke University Durham, NC, USA

  3. Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework

    Sep 30, 2026Zawad Yalmie Sazid, Robert AbbasEdge DevicesIntrusion Detection

    Victoria University, Sydney, Australia

  4. HO-FL: Hybrid-Order Federated Learning for Heterogeneous Edge Devices

    Sep 30, 2026Qiyuan Chen, Xian Wu, Yanan Ma +1Federated LearningEdge Devices

    University of Hong Kong · City University of Hong Kong

  5. Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge

    Sep 28, 2026Yitong Li, Jincheng Yu, Junsong Chen +6Edge DevicesCloud

    NVIDIA Research, Efficient AI Team & Singapore Lab.

  6. A Rapid Pipeline for Training and Deploying ML Models on WeBe Band

    Sep 24, 2026Ehsan Kourkchi, Asmita Asmita, Houman Homayoun +1Edge Devices

    Dep. of Electrical and Computer Engineering UC Davis, CA, USA. · dept. name of organization (of Aff.) Quandary Peak Research Los Angeles, CA, USA.

  7. Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains

    Sep 21, 2026Volkan Dağlı, Zerrin Dağlı, Dağhan DağlıRuntimeIntelligent Edge

    Anadolu University, Eski¸sehir, Turkey · ITouch Systems, Mersin, Turkey · Mersin University, Mersin, Turkey +1

  8. MECAIL: Communication-Aware Incremental Learning for Object Detection with 14.6 KB Spatiotemporal Experts

    Sep 21, 2026Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Paudel +3Edge DevicesClass-Incremental Learning

    ETH Zurich, Zurich, Switzerland. · Bosch Research, Hildesheim, Germany. · INSAIT, Sofia University “St. Kliment Ohridski”, Sofia, Bulgaria.

  9. Radio-Frequency Convolutional Neural Networks

    Sep 16, 2026Zhihui Gao, Shi-Yuan Ma, Yiran Chen +2Edge DevicesNeural Network Inference

    Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA. · Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

  10. The Operable Pareto Front: Distilling Offline Search into Run-Time Control for Multi-Objective UAV Edge-Computing Scheduling

    Sep 16, 2026Qiao Liao, Zhiyong Feng, Bin Wu +1SchedulersEdge Devices

    School of Computer Science and Technology, Tianjin University, Tianjin, China · School of Computer Software, Tianjin University, Tianjin, China · School of Information Science and Engineering, Shandong Agriculture and Engineering University, Shandong, China

  11. Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence

    Sep 14, 2026Thai T. Vu, John Le, Tu N. Nguyen +3Intelligent EdgeEdge Devices

    School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia · Department of Computer Science, Kennesaw State University, Georgia, USA · CodeZX Software Company Limited, Vietnam

  12. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Federated LearningReplay-Based Continual Learning

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · Department of Electronic Engineering, Tsinghua University, Beijing 100084, China, and the Beijing National Research Center for Information Science and Technology

  13. A 25-μμs/inf Event-driven Graph Neural Network Processor with Spatiotemporal Caching and Spline Convolution for Ultra-low-latency AI at the Edge

    Sep 14, 2026Adrian Kneip, Martin Lefebvre, Daniel Gehrig +4Edge DevicesGraph Neural Networks

    Delft University of Technology (TU Delft), 2628 CD Delft, The Netherlands · KU Leuven, 3000 Leuven, Belgium · University of Zürich (UZH), 8050 Zürich, Switzerland +1

  14. Adaptive AI: Energy Efficient Multi-exit TinyML on Intelligent Vision Systems at the Edge

    Sep 14, 2026Luca Crupi, Lorenzo Lamberti, Alessandro Giusti +1Edge DevicesMobilenetv2

    IDSIA, SUPSI, Lugano, Switzerland · IIS, ETH Zürich, Switzerland

  15. Predicting Train Delays in Finland Using Machine Learning and Weather Data

    Sep 12, 2026Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Nurul Huda MahmoodRelightingWeather Prediction

    Centre for Wireless Communications, University of Oulu, Oulu, Finland

  16. EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression

    Sep 11, 2026Motahare Mounesan, Irfan KhanEdge DevicesMultimodal Large Language Models

    Texas A&M University

  17. Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation

    Sep 9, 2026Sudaksh Kalra, Dolly SapraEdge DevicesNeural Network

    University of Amsterdam The Netherlands

  18. TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning

    Sep 7, 2026Avik Bhatnagar, Federico Nicolas Peccia, Oliver BringmannEdge DevicesBatch

    FZI Research Center for Information Technology, University of Tübingen Germany

  19. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks

    Sep 2, 2026Ali Akarma, Toqeer Ali Syed, Muhammad Khan +2Federated LearningPrivacy

    Islamic University of Madinah, Madinah, Saudi Arabia · King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia · AI Center, Faculty of Computer and Information Systems Islamic University of Madinah, Madinah 42351, Saudi Arabia +2

  20. Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling

    Sep 1, 2026Stefano Leggio, Giulio Rossolini, Alessandro BiondiVision TransformerToken Embeddings

    Dept. of Excellence in Robotics & AI, Scuola Superiore Sant’Anna Pisa, Italy

  21. Data-Centric Neuromotor Interfaces for Portable Human-Machine Interaction

    Aug 31, 2026Jiaxuan Li, Di Wu, Jianhua Liu +7Surface ElectromyographyBrain-Computer Interface

    Intelligent Equipment and Medical Device Laboratory, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China. · Manufacturing Laboratory, Department of Mechanical Engineering, The University of Tokyo, Tokyo 113-8656, Japan. · Institute of Robotics and Intelligent Systems, Dalian University of Technology, Dalian 116024, China. +1

  22. Enhancing Virtual Agents through SLMs and Edge-Computing: An Exploratory Evaluation of Think and Memory Processes

    Aug 13, 2026Aimilios Hadjiliasi, Louis NisiotisEmbodied AgentsEdge Devices

    Department of Computing, Engineering and Mathematics University of Central Lancashire, Cyprus

  23. Heterogeneity-Aware Belief Synchronization for Semantic Communication in AI-Native 6G Networks

    Aug 13, 2026Muhammad Hannan Akram, Muhammad Abubakar Rashid, Wassi Haider Kabir +3Semantic CommunicationsEdge Devices

    School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan · Department of Electronic Engineering, Kyung Hee University, Yongin 17104, South Korea · CONNECT Centre and the Department of Computer Science, Munster Technological University, Ireland

  24. MemSpec: Memory-Aware Runtime for Adaptive Draft Scheduling in Speculative Decoding on Edge Devices

    Aug 11, 2026Eunjeong Kim, Yeong Jun Jeon, Myeonggyun HanSpeculative DecodingLLM Inference Optimization

    Kyungpook National University Daegu, Republic of Korea

  25. Summarize First, Download Later: Onboard VLMs for Bandwidth-Efficient Earth Observation

    Aug 7, 2026Junghwan Park, Sangcheol Sim, Woojin Cho +1Trustworthy Earth Observation DecisionsEarth Observation

    TelePIX · 07330, Seoul, South Korea

  26. CoDAT: Collaborative Dual-Attention Transformer with Low-Cost Temporal Modeling for Efficient Edge Action Recognition

    Aug 7, 2026Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +3Open-Vocabulary Action RecognitionEdge Devices

    Department of Electro-Optics, National Formosa University, Huwei 632301, Taiwan · Department of Electrical Engineering, University of Muhammadiyah Malang, Malang 65144, Indonesia · Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan +1

  27. Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application

    Aug 5, 2026Marcos Carvalho, Fatih Temiz, Shavbo Salehi +2SchedulersMulti-Agent Reinforcement Learning

    Universidade Federal de Minas Gerais, Brazil · School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

  28. Multi-Agent Transformer for Queue-Level XR Traffic Scheduling in TSN Networks

    Aug 5, 2026Marcos Carvalho, Fatih Temiz, Shavbo Salehi +2Multi-Agent Reinforcement LearningEdge Devices

    Universidade Federal de Minas Gerais, Brazil · School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

  29. Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing

    Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Accurate Traffic ForecastingTemporal Graph Neural Networks

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China · SWJTU-Leeds Joint School, Southwest Jiaotong University, Chengdu, China · Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China +1

  30. A Low-Cost Hybrid Reservoir Computing Model for Isolated Sign Language Video Recognition

    Aug 4, 2026Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1Sign Language TranslationReservoir Computing

    Woosong University Kazakhstan, Turkistan City, Kazakhstan · Data Science and Artificial Intelligence Laboratory (DSAIL), Woosong University Kazakhstan, Turkistan City, Kazakhstan · Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu, 808-0196, Japan +2

  31. Learning-Based Collaborative MEC for LLM Inference with Soft-Deadline Awareness via Transformer-Enhanced PPO

    Aug 3, 2026Ngoc Hung Nguyen, Bjorn LandfeldtDeadlinesLLM Inference Optimization

    Department of Electrical and Information Technology, Lund University, P.O. Box 117, Lund 22100, Sweden

  32. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated LearningPower Allocation

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607 USA · IETR-UMR CNRS 6164, Centrale-Supélec Rennes Campus, Cesson-Sévigné 35576, France · Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, U.K. +1

  33. HetRoute Heterogeneous and Cost-aware Collaborative Routing Framework for Distributed Edge MoE Inference

    Aug 1, 2026Xin Yuan, Ning Li, Wenchao Xu +2Mixture-Of-Expert InferenceEdge Devices

    School of Ocean Engineering, Harbin Institute of Technology, Heilongjiang, China · School of Artificial Intelligence, University of Science and Technology Beijing, China · Division of Integrative Systems and Design, Hong Kong University of Science and Technology, Hong Kong +1

  34. GQ-FSL: Green Quantized Federated Split Learning

    Jul 31, 2026Idan Roth, Lutz LampeResource-Constrained Edge DevicesEdge Devices

    The University of British Columbia, Vancouver, BC, Canada

  35. Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning

    Jul 31, 2026Douwe den Blanken, Martin Lefebvre, Charlotte FrenkelEdge DevicesFew-Shot Learning

    Microelectronics Department (EEMCS Faculty), Delft University of Technology, 2628 CD Delft, Netherlands

  36. Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment

    Jul 28, 2026Takeshi NishikawaEfficientnet EncoderImage Classification

    Foundation for Computational Science (FOCUS), Computational Science Center Building 1F, 7–1–28 Minatojima-Minamimachi, Chuo-ku, Kobe 650–0047, Japan

  37. Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

    Jul 23, 2026Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4Intelligent EdgeEdge Devices

    Department of PComputer Science, IISER Berhampur, Odisha, India · Distributed Systems Group, TU Wien, 1040 Vienna, Austria. · Department of Computer Science, University of Helsinki, 00100 Helsinki, Finland +4

  38. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidParameter-Efficient Fine-Tuning MethodsTuning

    School of IT, Deakin University, Australia · Columbia University, USA

  39. Leveraging ECRAM for Edge Continual Learning

    Jul 22, 2026Nabila Tasnim, Haoran Liu, Qing Cao +1Replay-Based Continual LearningEdge Devices

    University of Illinois Urbana-Champaign

  40. Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

    Jul 20, 2026Shyamal Y. Dharia, Stephen D. Smith, Camilo E. ValderramaDifferentiable Logic Gate NetworksBrain-Computer Interface

    † The University of Winnipeg, Department of Applied Computer Science · ‡ The University of Winnipeg, Department of Psychology · ⋄University of Manitoba, Department of Electrical and Computer Engineering +1

  41. Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator

    Jul 20, 2026Mateusz Piechocki, Alessandro Capotondi, Marek KraftEdge DevicesParameter-Efficient Adaptation

    Poznan University of Technology, Institute of Robotics and Machine Intelligence, Poznan, Poland · University of Modena and Reggio Emilia, The High-Performance Real-Time Laboratory, Modena, Italy

  42. Multi-Agent Scheduling with LLM-Assisted Contract Net Negotiation for Stream Processing in Mobile Edge Computing

    Jul 19, 2026Sabeur Lajili, Zaki BrahmiEdge DevicesSchedulers

    University of Sousse, Tunisia

  43. EdgeFaaS: A Function-based Framework for Edge Computing

    Jul 16, 2026Neha Vadnere, Yu-Ting Wang, Yitao Chen +2Edge DevicesIntelligent Edge

    Arizona State University, Tempe, USA

  44. Active Beyond-Diagonal RIS Empowered Heterogeneous Edge Computing: A Distributional Reinforcement Learning Approach

    Jul 14, 2026Tianyu Pang, Hongyu LiPower AllocationReconfigurable Intelligent Surfaces

    Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

  45. Internet of Agentic Things: Networked AI Agents for Closed-Loop IoT Orchestration

    Jul 14, 2026Quanyan ZhuInternet Of ThingCyber-Physical System

    Department of Electrical and Computer Engineering, New York University, Tandon School of Engineering, Brooklyn, NY 11201, USA

  46. Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices

    Jul 14, 2026Raheen Junaid Wani, Smruti R. SarangiTime-Series Anomaly DetectionMultimodal Anomaly Detection

    School of Information Technology Indian Institute of Technology, Delhi New Delhi, India 110016 · Department of Computer Science Indian Institute of Technology, Delhi New Delhi, India 110016

  47. Benchmarking Edge Inference Strategies for Deep Learning Models in Industrial Machine Vision

    Jul 13, 2026Miguel Gomez Fernandez, David Castro Boga, Roi Mendez-Rial +1Edge DevicesStreaming Inference

    Smart Systems and Smart Manufacturing (S3M) AIMEN O Porri˜no, Spain

  48. Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents

    Jul 12, 2026Kai Yu, Lu Chen, Hanqi LiModel-Based Multi-Agent SystemsArtificial Intelligence Agents

    X-LANCE Lab, School of Computer Science, Shanghai Jiao Tong University, Shanghai, 200240, China · Jiangsu Key Lab of Language Computing, Suzhou, 215028, China

  49. NanoVSR: Towards Real-Time Video Super-Resolution on Edge Devices

    Jul 11, 2026Filip Pawlicki, Marcel Kańduła, Marcin Pucek +1Real-World Image Super-ResolutionUpsampling

    Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Department of Computer Architecture, Gdańsk, Poland · Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Department of Software Engineering, Gdańsk, Poland

  50. CSI-Assisted Edge SLAM Testbed Platform for 5G Connected Unmanned Autonomous Vehicles

    Jul 11, 2026Boris Radovanovic, Sasa Talosi, Srdjan Sobot +1Integrated Sensing And CommunicationSimultaneous Localization And Mapping

    Faculty of Technical Sciences, University of Novi Sad, Serbia

  51. EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

    Jul 10, 2026Shuo Huai, Hao Kong, Shiqing Li +5Edge DevicesInference Latency

    School of Computer Science and Engineering, Nanyang Technological University, Singapore · HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, Singapore · HP Inc., Palo Alto, California, USA

  52. Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices

    Jul 7, 2026Quoc Bao Phan, Tuy Tan NguyenFederated LearningEdge Devices

    Department of Electrical and Computer Engineering, Center for Advanced Power Systems, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32310, USA

  53. F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks

    Jul 6, 2026Mohammad Ansarimehr, Somayeh Changiz, Ehsan Baghishani +1Internet Of ThingIntrusion Detection

    Department of Computer Engineering, Ne. C., Islamic Azad University, Neyshabur, Iran

  54. Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models

    Jul 2, 2026Zikai Zhang, Rui Hu, Olivera Kotevska +1Recent Vision-Language ModelsEdge Devices

    Department of Computer Science and Engineering, University of Nevada, Reno, Reno, USA · Oak Ridge National Laboratory, Oak Ridge, USA

  55. LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing

    Jul 2, 2026Uzair Khan, Luigi Capogrosso, Muhammad Aqeel +3Multimodal Anomaly DetectionEdge Devices

    University of Verona · Interdisciplinary Transformation University of Austria · ETH Zurich

  56. FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers

    Jun 30, 2026Hubert Dymarkowski, Xingjian Fu, Rappy Saha +2Self-Supervised Vision TransformersEdge Devices

    School of Computing Science, University of Glasgow, Scotland, UK

  57. CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence

    Jun 26, 2026Zhiqiang Xie, Yijing Lin, Zhipeng Gao +1Large Language Model UnlearningUnlearning Method

    State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications · Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing · Department of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea

  58. Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT

    Jun 25, 2026Jinghan Wang, Yanjun Chen, Wei Zhang +3LLM Inference OptimizationEdge Devices

    School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China · School of Information Science and Technology, Eastern Institute of Technology, Ningbo, China

  59. Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning

    Jun 22, 2026Nuocheng Yang, Yechen He, Sihua Wang +3Federated LearningModel Fine-Tuning

    Beijing Laboratory of Advanced Information Network, and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China · Information Systems Technology and Design Pillar, Singapore University of Technology and Design, 487372, Singapore

  60. Integrated cloud-based architecture for robot-robot and human-robot collaboration using ROS 2--MQTT in Mediterranean Greenhouses

    Jun 21, 2026F. Cañadas-Aránega, M. Muñoz, J. C. Moreno +1Multi-Robot SystemsMediterranean Greenhouses

    Department of Informatics, CIESOL, ceiA3, Universidad de Almería, Ctra.2026 Sacramento s/n, Almería, 04120, Spain · Department of Engineering, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain