Edge Computing

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Overview

Edge computing studies how to process data on or near devices such as phones, sensors, vehicles, robots, and nearby servers instead of sending everything to a distant cloud. Work spans task offloading and resource scheduling, federated and split learning, collaborative edge-cloud inference, and hardware-aware compression and acceleration. Evaluations use workloads from IoT, mobile networks, robotics, and vision, on both simulation benchmarks and real devices such as Raspberry Pis, Jetson boards, and embedded accelerators. The central tension is balancing latency, energy, bandwidth, privacy, and reliability across heterogeneous devices and changing networks; measured deployment costs do not always match gains predicted by models or simulations.

Latest papers

CardsList

199 papers28 papers in the last four weeks, up 33% on the four weeks before. 0.2% of all new papers.

  1. Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference

    Aug 14, 2026Yunchu Han, Zhaojun Nan, Sheng Zhou +1Efficient Neural Network InferenceEnergy-Efficient ML

    Beijing National Research Center for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China · School of Electronics and Internet of Things Chongqing Polytechnic University of Electronic Technology, Chongqing 401331, China

  2. SPADE: Speculative Decoding for Precise and Low Cost Distributed Edge Cloud Inference

    Aug 13, 2026Divya Jyoti Bajpai, Kishan Kumar Upadhyay, Manjesh Kumar HanawalEdge-Cloud Collaborative InferenceEdge Computing

    MLiONS, Department of IEOR, IIT Bombay Mumbai, Maharashtra-400076, India

  3. Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA

    Aug 11, 2026Cédric Léonard, Francescopaolo Sica, Martin SchulzLearned Image CompressionEdge Computing

    Technical University of Munich, Munich, Germany · Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany · Department of Aerospace Engineering, University of the Bundeswehr Munich, Neubiberg, Germany

  4. ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handover

    Aug 11, 2026Minwoo Kim, Soochang Song, Namyoon Lee +2KV CachingEdge Computing

    Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea · Department of Electrical and Computer Engineering, Ajou University, Suwon 16499, South Korea

  5. Cloud-Boosted Low-Compute Multi-Channel Speech Enhancement

    Aug 7, 2026Xulin Fan, Juan Azcarreta, Ashutosh Pandey +5Edge-Cloud Collaborative InferenceEdge Computing

    University of Illinois Urbana-Champaign, USA · Meta Reality Labs Research, USA

  6. Data collection from highways: a geometric, class-agnostic approach to embedded vehicle counting

    Aug 7, 2026Lucas Gouveia Omena Lopes, William W. M. Lira, Alexandre M. Lima +1Edge ComputingTraffic Flow Estimation

    Universidade Federal de Alagoas, Maceió, Alagoas, Brazil

  7. Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge

    Aug 7, 2026Niclas Meyer, Stefan ReitmannPoint Cloud ClassificationSynthetic Data Generation

    1Chemnitz University of Technology

  8. BALANCE: Hybrid Autoregressive-Speculative LLM Inference in Wireless Edge Networks

    Aug 6, 2026Guanqiao Qu, Shuo Chen, Qian Chen +2Edge ComputingLLM Inference Scheduling

    Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China · Electrical and Electronic Engineering Department, Imperial College, London SW7 2BT, U.K. · Electrical and Electronic Engineering, and Computing Departments, Imperial College, London SW7 2BT, U.K.

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

    Aug 5, 2026Marcos Carvalho, Fatih Temiz, Shavbo Salehi +2Multi-Agent CoordinationEdge Computing

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

  10. Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing

    Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Edge ComputingTraffic Forecasting

    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

  11. Design and Evaluation of an AI-Enabled Cloud-Edge Architecture for Connected Precision Agriculture Farms

    Aug 4, 2026Deckshitha Angadi, Koteshwar Goud Surga, Nagaraju Lakkaraju +6Plant Disease ClassificationEdge Computing

    AI, IoT and Robotics Lab (AIR Lab), UAVs Group, Autonomous Robotics Systems Limited, Hyderabad, India · Department of Microelectronics and VLSI Design, University of Hyderabad, Hyderabad, India · Department of Artificial Intelligence, ThoughtGreen Technologies Private Limited, Hyderabad, India +6

  12. SAT-Edge-Agent: Hardware-in-the-Loop Edge-Agent Orchestration for Onboard Satellite Intelligence

    Aug 4, 2026Longji He, Jeto XuEdge ComputingLLM Agent Orchestration

    OgCloud Limited, Guangzhou, GD, China · College of Engineering, The Pennsylvania State University, University Park, PA, USA

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

    Aug 3, 2026Ngoc Hung Nguyen, Bjorn LandfeldtReinforcement LearningTransformer-Based RL

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

  14. Latency-Tolerant Cloud-Edge Collaborative Vision-Language-Action Models via Emergent Representational Specialization

    Aug 1, 2026Daojie Peng, Fulong Ma, Bingtao Wang +2Robotic ControlEdge-Cloud Collaborative Inference

    HKUST(GZ) · Shandong University · HKUST

  15. GQ-FSL: Green Quantized Federated Split Learning

    Jul 31, 2026Idan Roth, Lutz LampeMixed-Precision QuantizationEnergy-Efficient ML

    The University of British Columbia, Vancouver, BC, Canada

  16. The AnyLog Edge Data Fabric

    Jul 30, 2026Roy Shadmon, Mark Davidson, Eric Aquaronne +3Industrial AutomationEdge Computing

  17. Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines

    Jul 27, 2026Jhonatan Tavori, Gur-Eyal Sela, Ion Stoica +1Adversarial AttacksEdge Computing

    Columbia University · UC Berkeley

  18. Energy Constrained Hierarchical Underwater Monitoring via Local Multi-Agent RAG

    Jul 27, 2026Mohamed Amine Janati, Laurent Gautier, Stéphane BarbotEdge ComputingWildlife Monitoring

    Ifremer, 1625 RTE de Sainte-Anne, Plouzané, 29280, France · IMT Atlantique, Technopôle Brest-Iroise, CS 83818, Plouzané, 29280, France

  19. SHARE: Towards Head-Mounted AR with User-Centric SLAM in Shared Human-Robot Workspaces

    Jul 27, 2026Tianyuan Du, Tianyi Hu, Hanting Ye +1Augmented RealitySimultaneous Localization and Mapping

    Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States

  20. OrchNAS: Orchestrated Neural Architecture Search Service for Personalised Federated Edge Intelligence

    Jul 24, 2026Keya Patel, Sajib Mistry, Sheik Mohammad Mostakim Fattah +1Energy-Efficient MLEdge Computing

    School of EECMS, Curtin University, Australia

  21. A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation

    Jul 24, 2026Fin Gentzen, Marla Grunewald, Iulisloi Zacarias +2Edge ComputingLanguage Model Calibration

    Institut für Datentechnik und Kommunikationsnetze Technische Universität Braunschweig, Germany

  22. Edge Intelligence in Civil Aviation: Paradigms, Techniques, and Applications

    Jul 22, 2026Wenbin Li, Zhongtian Liao, Bolin Liu +4Edge InferenceEdge Computing

    China Southern Digital Intelligence Technology (Guangdong) Co., Ltd. China Southern Airlines Co., Ltd. Guangzhou, China

  23. Leveraging ECRAM for Edge Continual Learning

    Jul 22, 2026Nabila Tasnim, Haoran Liu, Qing Cao +1Compute-in-MemoryContinual Learning

    University of Illinois Urbana-Champaign

  24. TAPAS: Throughput-adaptive Perception for Autonomous Systems

    Jul 19, 2026Aman Vyas, Vasista Kodumagulla, Zain Taufique +2Energy-Efficient MLEdge Computing

    Department of Computing, University of Turku, Finland

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

    Jul 19, 2026Sabeur Lajili, Zaki BrahmiAutomated NegotiationAgent Communication Protocols

    University of Sousse, Tunisia

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

    Jul 16, 2026Neha Vadnere, Yu-Ting Wang, Yitao Chen +2Edge ComputingInternet of Things

    Arizona State University, Tempe, USA

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

    Jul 14, 2026Tianyu Pang, Hongyu LiDistributional RLReconfigurable Intelligent Surfaces

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

  28. Edge-Aware Thermal Infrared UAV Swarm Tracking

    Jul 14, 2026Yu-Hsi ChenThermal ImagingKalman Filtering

    The University of Melbourne Parkville, Australia

  29. Securing LLMs in the Wild: Privacy and Security Challenges at the Edge

    Jul 13, 2026Ren-Yi Huang, Mingchen Li, Dumindu Samaraweera +1LLM Inference EfficiencyEdge Computing

    Department of Electrical and Computer Engineering, University of South Florida · Department of Mathematics, Embry-Riddle Aeronautical University

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

    Jul 11, 2026Filip Pawlicki, Marcel Kańduła, Marcin Pucek +1Edge ComputingVideo Super-Resolution

    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