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. Multi-Turn Reasoning LLMs for Task Offloading in Mobile Edge Computing

    Apr 8, 2026Ning Yang, Chuangxin Cheng, Haijun ZhangEdge ComputingLLM Reasoning

    Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China · School of Mechano-Electronic Engineering, Xidian University, Xi’an, 710071, China · School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China

  2. Assessing the Added Value of Onboard Earth Observation Processing with the IRIDE HEO Service Segment

    Apr 8, 2026Parampuneet Kaur Thind, Charles Mwangi, Giovanni Varetto +3Remote SensingEdge Computing

    Sapienza Università di Roma, Rome, Italy · Argotec Srl, Turin, Italy · Istituto Universitario di Studi Superiori (IUSS), Pavia, Italy +3

  3. Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices

    Apr 3, 2026Kim Jun-Seong, Mingyu Kim, GeonU Kim +2Neural Radiance FieldsMemory-Efficient Training

    Dept. of E.E., POSTECH · Dept. of CS, The Univ. of British Columbia · Grad. School of AI, POSTECH +3

  4. From Skeletons to Semantics: Design and Deployment of a Hybrid Edge-Based Action Detection System for Public Safety

    Mar 31, 2026Ganen Sethupathy, Lalit Dumka, Jan SchagenVideo SurveillanceTemporal Action Detection

    Sopra Steria Germany, Hamburg, Germany · Sopra Steria India, Noida, India

  5. Deep Learning-Based Anomaly Detection in Spacecraft Telemetry on Edge Devices

    Mar 31, 2026Christopher Goetze, Tim Schlippe, Daniel LakeyAnomaly DetectionTime-Series Anomaly Detection

    IU International University of Applied Sciences, Germany

  6. An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence

    Mar 31, 2026Yichen Liu, Imam Akintomiwa Akinlade, Xiaochong Jiang +2Active SensingEdge Computing

    Independent Researcher, New York, NY, USA

  7. Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping

    Mar 30, 2026Zih-Sing Fu, Peter Zhi Xuan Li, Sertac Karaman +13D Mapping3D Occupancy Prediction

    Massachusetts Institute of Technology, Cambridge, MA, USA

  8. Trust-Aware Routing for Distributed Generative AI Inference at the Edge

    Mar 30, 2026Chanh Nguyen, Erik ElmrothDistributed InferenceEdge Computing

    Department of Computing Science, Ume˚a University, SE-90187, Sweden

  9. Pre-Deployment Complexity Estimation for Federated Perception Systems

    Mar 30, 2026KMA Solaiman, Shafkat Islam, Ruy de Oliveira +1Federated LearningEdge Computing

    University of Maryland Baltimore County, Baltimore, MD 21250, USA · Purdue University Northwest, Hammond, IN 46323, USA · Purdue University, West Lafayette, IN 47907, USA

  10. CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing

    Mar 28, 2026Guilin Zhang, Wulan Guo, Ziqi Tan +2Edge InferenceEdge Computing

    Department of Engineering Management and Systems Engineering, George Washington University, USA · Department of Computer Science, Information, and Engineering Technology, Youngstown State University, USA

  11. SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition

    Mar 27, 2026Deepika Gurung, Lala Shakti Swarup Ray, Mengxi Liu +2Human Activity RecognitionEfficient Neural Network Inference

    RPTU & DFKI, Kaiserslautern, Germany

  12. Efficient Few-Shot Learning for Edge AI via Knowledge Distillation on MobileViT

    Mar 27, 2026Shuhei Tsuyuki, Reda Bensaid, Jérémy Morlier +4Few-Shot Image ClassificationEdge Computing

    Research Institute of Electrical Communication, Tohoku University, Japan · Graduate School of Engineering, Tohoku University, Japan · IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 Brest, France

  13. AI Lifecycle-Aware Feasibility Framework for Split-RIC Orchestration in NTN O-RAN

    Mar 24, 2026Daniele TarchiOpen Radio Access NetworkLEO Satellite Networks

    Department of Information Engineering, University of Florence, 50139 Firenze, Italy · CNIT - University of Florence Research Unit, 50139 Firenze, Italy

  14. Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing

    Mar 23, 2026Weitong Cai, Hang Zhang, Yukai Huang +5Streaming Video UnderstandingEdge Computing

    Queen Mary University of London · Independent Researcher · Durham University +2

  15. Federated Mixture-of-Experts Alignment on Mobile Edge Networks under Data Heterogeneity

    Mar 22, 2026Zihan Fang, Qianru Wang, Haonan An +4Mixture-of-Experts Language ModelsFederated Learning Aggregation

    Hong Kong JC STEM Lab of Smart City and Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China · School of Computer Science and Technology, Xidian University, Xi’an, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China +1

  16. Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting

    Mar 21, 2026Nan Qiao, Shuning Wang, Sijing Duan +5Solar Power ForecastingDistribution Shift Robustness

    School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, China · Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing 100084, China · Beijing Smartchip Microelectronics Technology Co., Ltd, Beijing 102200, China

  17. Learning to Remember: Attentive Reinforcement Learning for Edge Serverless Autoscaling

    Mar 21, 2026Faraz Shaikh, Gianluca Reali, Mauro FemminellaRL ControlReinforcement Learning

    Department of Engineering, University of Perugia, Perugia, Italy · Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), 43124 Parma, Italy

  18. RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models

    Mar 21, 2026Zihao Zheng, Hangyu Cao, Jiayu Chen +6Edge-Cloud Collaborative InferenceEfficient VLA Model Inference

    School of Computer Science, Peking University, Beijing, China · School of Computer Science, South China University of Technology, Guangzhou, China · School of Artificial Intelligence, Beijing Normal University, Beijing, China +1

  19. GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems

    Mar 19, 2026Zheng Lin, Ons Aouedi, Zihan Fang +4Split Federated LearningGradient Alignment

    Department of Electrical and Computer Engineering, University of Hong Kong, Pok Fu Lam, Hong Kong, China · Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855 Luxembourg, Luxembourg · Hong Kong JC STEM Lab of Smart City and Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China +2

  20. iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery

    Mar 19, 2026Jiangtao Luo, Bingbing Xu, Shaohua Xia +1LEO Satellite NetworksEdge Computing

    the School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China.

  21. Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads

    Mar 18, 2026Sara Pohland, Xenofon Foukas, Ganesh Ananthanarayanan +4RoboticsRobotic Manipulation

    UC Berkeley · Microsoft Corp.

  22. From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence

    Mar 18, 2026Jie Zheng, Dusit Niyato, Changyuan Zhao +2World ModelsEdge AI

    State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, College of Computer, Northwest University, Xian, 710127, Shaanxi, China. · College of Computing and Data Science, Nanyang Technological University, Singapore 639798. · the Automation of School, Guangdong University of Technology, Guangzhou 510006, China.

  23. Deep Reinforcement Learning-driven Edge Offloading for Latency-constrained XR pipelines

    Mar 17, 2026Sourya Saha, Saptarshi DebroyComputation OffloadingEdge Computing

    City University of New York

  24. VIGIL: Towards Edge-Extended Agentic AI for Enterprise IT Support

    Mar 17, 2026Sarthak Ahuja, Neda Kordjazi, Evren Yortucboylu +7Agentic AIHuman-Centered AI

    Amazon Engine, AI Center of Excellence

  25. Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies

    Mar 16, 2026Utkarsh Grover, Ravi Ranjan, Mingyang Mao +9Robot Foundation ModelsEdge Computing

    University of South Florida, USA · Florida International University, USA · Johns Hopkins University, USA +2

  26. Entropy-Aware Task Offloading in Mobile Edge Computing

    Mar 16, 2026Mohsen Sahraei Ardakani, Hong Wan, Rui SongEdge Computing

  27. Lightweight User-Personalization Method for Closed Split Computing

    Mar 16, 2026Yuya Okada, Takayuki NishioEdge ComputingParameter-Efficient Fine-Tuning

    School of Engineering, Institute of Science Tokyo, Tokyo 152-8550, Japan

  28. End-to-End O-RAN Testbed for Edge-AI-Enabled 5G/6G Connected Industrial Robotics

    Mar 13, 2026Sasa Talosi, Vladimir Vincan, Srdjan Sobot +5Edge Computing6G Networks

    Faculty of Technical Sciences, University of Novi Sad, Serbia · The Institute for Artificial Intelligence Research and Development of Serbia, Serbia

  29. SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks

    Mar 12, 2026Kanishka Gunawardana, Sanka Peeris, Kavishka Rambukwella +4Neuromorphic ComputingEfficient Neural Network Inference

    Department of Computer Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka

  30. Edge-Assisted Multi-Robot Visual-Inertial SLAM with Efficient Communication

    Mar 11, 2026Xin Liu, Shuhuan Wen, Jing Zhao +2Simultaneous Localization and MappingVisual-Inertial SLAM

    the Department of Key Lab of Industrial Computer Control Engineering of Hebei Province, Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, 066004, China. · Intelligent Transport System Research Center, Wuhan University of Technology, Wuhan, China · the Department of Civil and Environmental Engineering at the University of Alberta, Canada. +1