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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. SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation

    Jun 21, 2026Luke Ztz Hu, Hongbing Lang, Songping MaiSmart HomesInternet Of Thing

    Tsinghua Shenzhen International Graduate School, Shenzhen, Guangdong, 518055 China · Shenzhen Belon Technology Co., Ltd., Shenzhen, China

  2. Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices

    Jun 17, 2026Hassan Dbouk, Matthias Reisser, Prathamesh Mandke +2Large Language Model Fine-TuningModel Fine-Tuning

    Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc. · work done while at Qualcomm

  3. EdgeZSAD: Practical Zero-Shot Anomaly Detection on Edge Devices

    Jun 15, 2026Taewan Cho, Andrew Jaeyong ChoiMultimodal Anomaly DetectionMobilenetv2

    1Gachon University · 2Plaid Labs Inc.

  4. Sustainable Face Recognition on Low-Power Devices with VQ-VAE Embeddings

    Jun 13, 2026Christos Chronis, Georgios Th. Papadopoulos, Iraklis VarlamisEdge DevicesFace Recognition Model

    Dep. of Informatics and Telematics Harokopio University of Athens Athens, Greece

  5. Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems

    Jun 11, 2026Mansi Od, Param Pathak, Nouhaila Innan +1Reservoir ComputingAccurate Short-Term Electricity Load Forecasting

    University of Greenwich, London, United Kingdom · Fractal Analytics, QuantumAI Lab, Mumbai, Maharashtra, India · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE +1

  6. Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Electrocardiogram ClassificationEdge Devices

    School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom

  7. APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations

    Jun 10, 2026Swadhin Pradhan, Niloo Bahadori, Peiman AminiTime Series Foundation ModelsMobile Networks

    Cisco Systems, USA

  8. Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation

    Jun 9, 2026Chanuka A. S. Hewa Kaluannakkage, Rajkumar BuyyaFederated LearningGossip

    Quantum Cloud and Distributed Systems (qCLOUDS) Lab School of Computing and Information Systems The University of Melbourne, Australia

  9. A Lightweight Dual-Factor Acoustic Authentication System via Cascaded GMM-DTW Architecture for Edge Computing

    Jun 9, 2026Yutong ZhangAuthenticationEdge Devices

    The School of Computer Science Northeast Electric Power University Jilin 132012, China

  10. CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

    Jun 8, 2026Zheshun Wu, Ziyang Zhang, Changyao Lin +2Intelligent EdgeEdge Devices

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China · NESLab, Politecnico di Milano, 39-20133 Milano, Italy · School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China +2

  11. AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments

    Jun 6, 2026Yan Wang, Ziyi Gao, Rui WangEdge DevicesValue Alignment

    Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

  12. AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

    Jun 6, 2026Bilal Hussain, Muhammad Bilal, Tan Li +6Cyber-Physical SystemCybersecurity

    Division of Science, Engineering, and Health Studies, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong Kong SAR, China · School of Computing and Communications, Lancaster University, United Kingdom · Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong SAR, China +4

  13. Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices

    Jun 5, 2026Stefan Behfar, Richard MortierModel-Agnostic DefenseEdge Devices

    Computer Lab, University of Cambridge, Cambridge, United Kingdom

  14. The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning

    Jun 5, 2026Rahul Nair, Chun TaoModel Fine-TuningSmall Large Language Models

  15. MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios

    Jun 4, 2026Guo Li, Jiandian Zeng, Yang Li +3Training-Free Video Anomaly DetectionEdge Devices

    Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China · School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China · Engineering Research Center of Cloud-Edge Intelligent Collaboration on Big Data, Ministry of Education, Beijing Normal University, Zhuhai, Guangdong, China

  16. E2LLM: Towards Efficient LLM Serving in Heterogeneous Edge/Fog Environments

    Jun 2, 2026Truong-Thanh Le, Amir Taherkordi, Hoang-Loc La +3LLM Inference OptimizationEdge Devices

    Department of Informatics University of Oslo Oslo, Norway · Department of Computer Science UiT The Arctic University of Norway Tromsø, Norway

  17. An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers

    Jun 2, 2026Georgios Papandroulidakis, Shady Agwa, Themis ProdromakisRadial Basis FunctionEdge Devices

    Centre for Electronics Frontiers, Institute of Micro and Nano Systems, School of Engineering, The University of Edinburgh, EH9 3BF, UK.

  18. Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition

    May 31, 2026Tauseef Ahmed, Tao Sun, Jeronimo Castrillon +2Neuromorphic ComputingAutomatic Speech Recognition

    Department of Advanced Computing Sciences, Maastricht University, Netherlands · Hardware-Efficient AI Team, IMEC, Netherlands · Chair for Compiler Construction, TU Dresden, Germany +1

  19. On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection

    May 28, 2026Gudrun Schappacher-Tilp, Nicoletta Kaehling, Jan Kornberger +1Edge DevicesStreaming Inference

    Electronic Engineering FH JOANNEUM - University of Applied Sciences Graz, Austria

  20. StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting

    May 26, 2026Minh K. Quan, Pubudu N. PathiranaEdge DevicesModern Data-Streaming Systems

    School of Engineering, Deakin University Waurn Ponds, Australia

  21. Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment

    May 25, 2026Muhammad Azlan Qazi, Alexandros Iosifidis, Qi ZhangEdge DevicesNvidia Jetson Orin Nano

    Aarhus University · Aarhus, Denmark · Tampere University +1

  22. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikFederated LearningEdge Devices

    Computer Engineering Istanbul Technical University Istanbul, Turkey · Department of Computer Technologies Istanbul University-Cerrahpaşa Istanbul, Turkey

  23. Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments

    May 21, 2026Prajwal PanthEdge DevicesDesign Structure Matrices

    School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India.

  24. Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach

    May 18, 2026Yaorong Huang, Jingtao Luo, Xuechao WangEdge DevicesOffloading

    ∗The Hong Kong University of Science and Technology (Guangzhou) · †Chengdu Neusoft University

  25. TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks

    May 17, 2026Xianke Qiang, Zheng Chang, Li Wang +1Edge DevicesFederated Learning

    School of Computer Science and Engineering, UESTC, 611731 Chengdu, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China. · Center for Intelligent Networking and Communications, UESTC, 611731 Chengdu, China.

  26. Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning

    May 15, 2026Jayakrishna Amathi, Venkata Prasanth Yanambaka, Saraju P. Mohanty +1Edge DevicesDeep Learning Architectures

    Department of Computer Science and Engineering University of North Texas Denton, TX, USA. · Division of Computer Science Texas Woman’s University Denton, TX, USA.

  27. An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing

    May 13, 2026Hanwen Zhang, Dusit Niyato, Wei Zhang +2Unmanned Aerial Vehicle TrajectoriesSchedulers

    College of Computing and Data Science, Nanyang Technological University, Singapore 639798 · Information and Communications Technology Cluster, Singapore Institute of Technology, Singapore 828608

  28. CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference

    May 12, 2026Nan Xue, Shengkang Chen, Zhiyong Chen +4Large Language Model RoutingEdge Devices

    Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai 200240, China · Department of Broadband Communication, Pengcheng Laboratory, Shenzhen 518000, China · Future Network of Intelligent Institute (FNii), the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China +1

  29. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning

    May 12, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHeterogeneous Federated LearningFederated Learning

    Computer Science and Informatics · London South Bank University · London, UK +1

  30. GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference

    May 11, 2026Zengzipeng Tang, Yuxuan Sun, Wei Chen +2LLM Inference OptimizationEdge Devices

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  31. Frequency Matching in Spiking Neural Networks for mmWave Sensing

    May 11, 2026Di Yu, Zhenyu Liao, Changze Lv +7Spiking Neural NetworksMillimeter Wave

    College of Computer Science and Technology, Zhejiang University, Hangzhou, China · School of Computer Science, Fudan University, Shanghai, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China +1

  32. M2^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

    May 10, 2026Manjil Nepal, Kimsie Phan, Tamoghna Ojha +2Federated LearningEdge Devices

    Department of Computer Science and Engineering, SRM University-AP, India · Department of Mathematics and Computing, IIT (ISM) Dhanbad, India · Department of Mathematics and the Department of Computer Science, University of Central Florida, USA

  33. Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum

    May 10, 2026Akuen Akoi Deng, Eimantas Butkus, Alfreds Lapkovskis +1Edge DevicesEdge Platforms

    Department of Computer and Systems Sciences, Stockholm University, Borgarfjordsgatan 12, Stockholm, Sweden

  34. MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents

    May 10, 2026Yining Chen, Jihao Zhao, Bo Tang +5PrivacyPeak Memory

    1MemTensor (Shanghai) Technology Co., Ltd. · 3Tongji University · 2HONOR Device Co., Ltd.

  35. A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core

    May 9, 2026Pragun Jaswal, L. Hemanth Krishna, B. SrinivasuRisc-VEdge Devices

    Indian Institute of Technology Mandi, Mandi–175005, India

  36. XiYOLO: Energy-Aware Object Detection via Iterative Architecture Search and Scaling

    May 7, 2026Tony Tran, Richie R. Suganda, Bin HuYolo26Edge Devices

    Department of Research Computing University of Houston Houston, TX 77479 · Department of Electrical and Computer Engineering University of Houston Houston, TX 77479 · Department of Engineering Technology University of Houston Houston, TX 77479

  37. TinyBayes: Closed-Form Bayesian Inference via Jacobi Prior for Real-Time Image Classification on Edge Devices

    May 7, 2026Shouvik Sardar, Sourish DasLeaf Disease ClassificationEdge Devices

    Data Science Group Chennai Mathematical Institute

  38. Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey

    May 7, 2026Yiwen Xu, Tariq M. Khan, Yang Song +1Edge DevicesIntelligent Edge

    School of Computer Science and Engineering

  39. CP2^2N2^2: A Control Plane for Heterogeneous Physical Neural Networks

    May 5, 2026Stefan Fischer, Maliheh Hariri, Sebastian OtteEdge DevicesNeural Network

    University of Luebeck, Institute of Telematics · University of Luebeck, Institute of Robotics and Cognitive Systems

  40. ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

    May 5, 2026Mergen Nachin, Digant Desai, Sicheng Stephen Jia +36PytorchEdge Devices

    Meta · Work done while at Meta.

  41. QKVShare: Quantized KV-Cache Handoff for Multi-Agent On-Device LLMs

    May 5, 2026Pratik Honavar, Tejpratap GVSLKey-Value Cache QuantizationLLM Inference Optimization

  42. Benchmarking Local Language Models for Social Robots using Edge Devices

    May 4, 2026Dorian Lamouille, Matevž B. Zorec, Farnaz Baksh +1Small Large Language ModelsLarge Language Model Benchmarks

    University of Tartu Tartu, Estonia · Institute of Computer Science University of Tartu Tartu, Estonia · Institute of Technology University of Tartu Tartu, Estonia

  43. Elastic Spiking Transformers for Efficient Gesture Understanding

    May 4, 2026Alberto Ancilotto, Gianluca Amprimo, Stefano Di Carlo +1Spiking Neural NetworksNeuromorphic Computing

    Fondazione Bruno Kessler · Politecnico di Torino

  44. A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

    Apr 30, 2026Zawad Yalmie Sazid, Robert Abbas, Sasa MaricEdge DevicesIntrusion Detection

    Victoria University, Sydney, Australia · University of New South Wales College, Sydney, Australia

  45. DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

    Apr 30, 2026Ali Emre Oztas, Mahir Demir, James Garside +1Neural Network InferenceEdge Devices

    The University of Manchester

  46. Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making

    Apr 30, 2026Salman Jan, Toqeer Ali Syed, Shahid Kamal +2Traffic Signal ControlDigital Twins

    Center for Advanced Analytics, CoE for Artificial Intelligence, Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia · Faculty of Computer Studies, Arab Open University-Bahrain, A’Ali, Bahrain · Faculty of Computer and Information System, Islamic University of Madinah, Madinah, Saudi Arabia +1

  47. QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks

    Apr 28, 2026Yongtao Yao, Yao Yang, Haorui Shi +3Edge DevicesOffloading

  48. FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

    Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Large Language Model QuantizationFedavg

    School of Computing and Information Technology, Great Bay University, Dongguan, China · Beijing Institute of Technology, Beijing, China · University of Warwick, Coventry, U.K. +3

  49. Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices

    Apr 27, 2026Zihuai Xu, Ruofei Hou, Yang Xu +3Large Language Model CompressionLLM Inference Optimization

    Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, China, 215123

  50. GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility

    Apr 27, 2026Yihong Zhou, Hongtai Zeng, Thomas MorstynDistributed Energy ResourcesDecentralized Learning

    Department of Engineering Science, University of Oxford

  51. A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks

    Apr 27, 2026Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos TserpesEdge DevicesCapability-Speed Trade-Offs

    Department of Electrical and Computer Engineering National Technical University of Athens, Greece

  52. Hardware-Efficient Softmax and Layer Normalization with Guaranteed Normalization for Edge Devices

    Apr 26, 2026Dawon Choi, Hana Kim, Ji-Hoon KimBatch NormalizationGumbel-Softmax Relaxation

    Dept. of Artificial Intelligence Semiconductor Engineering, Hanyang University, Seoul, Republic of Korea · Dept. of Electronic Engineering, Hanyang University, Seoul, Republic of Korea

  53. Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices

    Apr 25, 2026Linyuan Wang, Haibo Yao, Te-Ming Tseng +4Drone DetectionYolo26

    Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS, USA · USDA-ARS, Genetics and Sustainable Agriculture Research Unit, Mississippi State, MS, USA · Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA +2

  54. Tessera: Secure, Near-Line-Rate Weight Streaming for UMA Edge Accelerators

    Apr 25, 2026Animan NaskarEdge DevicesHomomorphic Encryption

    Indian Institute of Technology (IIT) Ropar

  55. ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing

    Apr 23, 2026Jebacyril Arockiaraj, Dhruv Parikh, Viktor PrasannaEdge DevicesReplay-Based Continual Learning

    University of Southern California, Los Angeles, CA, USA

  56. SparKV: Overhead-Aware KV Cache Loading for Efficient On-Device LLM Inference

    Apr 23, 2026Hongyao Liu, Liuqun Zhai, Junyi Wang +1LLM Inference OptimizationEdge Devices

    Department of Computer Science, City University of Hong Kong, Hong Kong SAR.

  57. IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0

    Apr 22, 2026Mohsen Asghari Ilani, Yaser Mike BanadDeep Learning FrameworkEdge Devices

    School of Management, Swansea University, Swansea, United Kingdom · School of Electrical and Computer Engineering, University of Oklahoma, Norman, 73019, U.S.A.

  58. KD-Judge: A Knowledge-Driven Automated Judge Framework for Functional Fitness Movements on Edge Devices

    Apr 21, 2026Shaibal Saha, Fan Li, Yunge Li +3Physical ActivitiesRaw Judge Outputs

    Department of Computer Science and Engineering, Oakland University, Rochester Hills, USA · Intelligent Data Management and Analytics LLC, USA

  59. Evaluation of Winning Solutions of 2025 Low Power Computer Vision Challenge

    Apr 21, 2026Zihao Ye, Yung-Hsiang Lu, Xiao Hu +14Computer VisionChallenges

    Purdue University, West Lafayette, IN, USA · Qualcomm, USA · Lehigh University, Bethlehem, PA, USA +3

  60. WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inference

    Apr 20, 2026Zixuan Liu, Zhiyong Chen, Nan Xue +4Speculative DecodingLLM Inference Optimization

    Cooperative Medianet Innovation Center and the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China