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. Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices

    May 15, 2026Alexander Gräfe, Ding Huo, Vincent de Bakker +3Efficient Transformer InferenceTransformer Inference

    1RWTH Aachen University · 2TU Darmstadt

  2. 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 +2Large Language Model-Guided OptimizationEdge Computing

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

  3. Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA

    May 12, 2026Michelangelo Barocci, Vittorio Fra, Enrico Macii +1Edge ComputingHeterogeneous Computing

    Department of Computer and Control Engineering, Politecnico di Torino, Turin, Italy · Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Turin, Italy

  4. An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum

    May 11, 2026Suvi De Silva, Alfreds Lapkovskis, Alaa Saleh +2Agent ReliabilityEdge Computing

    Department of Computer Systems and Sciences, Stockholm University, Stockholm 164 25, Sweden · Department of Computer Science, University of Helsinki, Helsinki 00014, Finland

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

    May 11, 2026Zengzipeng Tang, Yuxuan Sun, Wei Chen +2On-Device Language Model InferenceEdge Computing

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

  6. Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks

    May 10, 2026Su Wang, Mung Chiang, H. Vincent PoorEdge ComputingWireless Resource Allocation

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA · Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

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

    May 7, 2026Yiwen Xu, Tariq M. Khan, Yang Song +1Efficient Neural Network InferenceEdge Inference

    School of Computer Science and Engineering

  8. CoVSpec: Efficient Device-Edge Co-Inference for Vision-Language Models via Speculative Decoding

    May 4, 2026Yuanyuan Jia, Shunpu Tang, Qianqian YangEfficient VLM InferenceEdge Computing

    College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

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

    Apr 30, 2026Zawad Yalmie Sazid, Robert Abbas, Sasa MaricIntelligent Transportation SystemsNetwork Intrusion Detection

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

  10. Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models

    Apr 29, 2026Cyril Shih-Huan Hsu, Wig Yuan-Cheng Cheng, Chrysa PapagianniEdge-Cloud Collaborative InferenceEfficient VLM Inference

    Informatics Institute, University of Amsterdam, The Netherlands. · Open-EP Community, Taoyuan City 330049, Taiwan (R.O.C.).

  11. Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation

    Apr 28, 2026Yongtao Yao, Wenjing Xiao, Miaojiang Chen +5Edge ComputingWireless Communications

    School of Computer, Electronics and Information, Guangxi University, and also with the Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning 530004, China · School of Computer Science and Engineering, Central South University, Changsha 410083, China · College of Cyber Security, Jinan University, Guangzhou 510632, China +3

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

    Apr 28, 2026Yongtao Yao, Yao Yang, Haorui Shi +3Edge ComputingWireless Resource Allocation

  13. Edge-Cloud Collaborative Reconstruction via Structure-Aware Latent Diffusion for Downstream Remote Sensing Perception

    Apr 28, 2026Yun Li, Xianju LiDiffusion Models for Image RestorationEdge Computing

    School of Computer Science, China University of Geosciences, Wuhan, Hubei, China.

  14. DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms

    Apr 28, 2026Xiong Zhouzhi, Zimo Zeng, Yi Chen +3Small Object DetectionEdge Inference

    College of Electrical Engineering, Zhejiang University, Hangzhou, China

  15. Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI

    Apr 27, 2026Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema +1Edge ComputingHardware-Aware NAS

    1Sapienza University of Rome · 2 Φ-lab, ESA ESRIN · 4Argotec Srl +1

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

    Apr 27, 2026Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos TserpesMulti-Armed BanditsDynamic Neural Networks

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

  17. Cloud to Edge: Benchmarking LLM Inference On Hardware-Accelerated Single-Board Computers

    Apr 24, 2026Harri Renney, Fouad Trad, Michael Mattarock +1AI Accelerator InferenceOn-Device Language Model Inference

    Kaze Technologies Kaze Consulting Bath, BA1 2HN, UK · Electrical and Computer Engineering Lebanese American University Byblos, Lebanon · Carnegie Mellon University Pittsburgh Pennsylvania USA +1

  18. A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing

    Apr 22, 2026Samaresh Kumar Singh, Joyjit RoyMulti-Agent System OptimizationMulti-Agent Coordination

    Independent Researcher · Leander, Texas · Austin, Texas

  19. Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systems

    Apr 20, 2026Zhonghao Zhan, Yefan Zhang, Hamed HaddadiMulti-Agent OrchestrationEdge Computing

    Imperial College London · Independent Researcher

  20. Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review

    Apr 19, 2026Khandoker Ashik Uz Zaman, Mahdi H. Miraz, Mohammed N. M. AliEdge ComputingCybersecurity

    Xiamen University Malaysia, Malaysia · Wrexham University, UK · University of South Wales, UK

  21. When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano

    Apr 18, 2026Jason Yoo, Shailesh Garg, Souvik Chakraborty +1Efficient Neural Network InferenceActivation Sparsity

    University of Illinois Urbana-Champaign Department of Nuclear, Plasma & Radiological Engineering Urbana, IL, USA · Indian Institute of Technology Delhi Department of Applied Mechanics New Delhi, India · National Center for Supercomputing Applications Urbana, IL, USA

  22. Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries

    Apr 17, 2026William Howes, Farid Ahmed, Kazuma Kobayashi +2Edge ComputingGraph Neural Operators

    Grainger College of Engineering, Nuclear, Plasma & Radiological Engineering Department, University of Illinois Urbana-Champaign, Urbana, IL, USA · Department of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India · Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi +1

  23. Self-adaptive Multi-Access Edge Architectures: A Robotics Case

    Apr 15, 2026Mahyar T Moghaddam, Joakim Leed, Anders FrandsenEdge Computing

    University of Southern Denmark, Odense, Denmark

  24. Efficient Semantic Image Communication for Traffic Monitoring at the Edge

    Apr 14, 2026Damir Assylbek, Nurmukhammed Aitymbetov, Marko Ristin +1Semantic CommunicationGenerative Image Compression

    Nazarbayev University, School of Engineering & Digital Sciences, Astana, Kazakhstan · Zurich University of Applied Sciences (ZHAW), Winterthur, Switzerland

  25. Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks

    Apr 12, 2026Haihui Xie, Wenkun Wen, Shuwu Chen +2Federated LearningEnergy-Efficient ML

    College of Computer and Information Sciences, Fujian Agriculture and Forestry University, and also with the Engineering Research Center of Smart Sensing and Agricultural Chip Technology, Fujian Province University, Fuzhou 350002, China · R&D Department, Techphant Technologies Company Ltd., Guangzhou 510310, China · School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China

  26. Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge

    Apr 11, 2026L. Niedermeier, J. L. KrichmarNeuromorphic ComputingSpiking Neural Networks

    Niedermeier Consulting, Zurich, ZH, Switzerland · Department of Computer Science, University of California, Irvine, CA, USA · Department of Cognitive Sciences, University of California, Irvine, CA, USA

  27. MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs

    Apr 10, 2026Enrico Russo, Mohamed Amine Hamdi, Alessandro Ottaviano +6Efficient Neural Network InferenceNeural Network Hardware Acceleration

    University of Catania, Italy · Politecnico di Torino, Italy · ETH Zurich, Switzerland +1

  28. Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey

    Apr 9, 2026Xiaojing Chen, Haiqi Yu, Wei Ni +5Energy-Efficient MLLLM Inference Efficiency

    Shanghai University, Shanghai, China · Nanyang Technological University, Singapore · Edith Cowan University, Perth, Australia +2

  29. ConfigSpec: Profiling-Based Configuration Selection for Distributed Edge--Cloud Speculative LLM Serving

    Apr 8, 2026Xiangchen Li, Saeid Ghafouri, Jiakun Fan +3LLM Inference EfficiencyDisaggregated LLM Serving

    Virginia Tech, Blacksburg, Virginia, USA · Queen’s University Belfast, Belfast, Northern Ireland, UK

  30. Splats under Pressure: Exploring Performance-Energy Trade-offs in Real-Time 3D Gaussian Splatting under Constrained GPU Budgets

    Apr 8, 2026Muhammad Fahim Tajwar, Arthur Wuhrlin, Bhojan Anand3D Gaussian Splatting3DGS Acceleration

    National University of Singapore · Singapore · Telecom Paris