Edge-Cloud Computing

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Overview

Edge-cloud computing studies how to place and coordinate computation across devices, edge servers, and remote clouds, especially when applications need fast responses or cannot send all data away. Common approaches include task offloading and DNN partitioning, reinforcement-learning schedulers, adaptive model routing, and compression or semantic communication that sends compact features instead of raw data. These methods support settings such as IoT monitoring, vehicles, healthcare, video analysis, and distributed language-model inference, where latency, bandwidth, energy, privacy, and accuracy must be balanced. A central challenge is keeping service quality predictable as networks, workloads, and device capacity change, while validating proposed strategies on realistic hardware and under strict latency and reliability targets.

Latest papers

CardsList

67 papers7 papers in the last four weeks, down 36% on the four weeks before. 0.0% of all new papers.

  1. PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing

    Mar 10, 2026Wei Feng, Jingbo Zhang, Qiong Wu +2Computation OffloadingEdge Computing

    School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China · State Key Laboratory of Space Network and Communications, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China · Qualcomm, San Jose, CA 95110, USA

  2. Constraint-Aware Execution Planning for Hybrid Space-Ground Compute Workloads

    Mar 4, 2026Subhadip MitraComputation OffloadingLEO Satellite Networks

    RotaStellar

  3. Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles

    Feb 27, 2026Faisal Hawladera, Rui Meireles, Gamal Elghazaly +2Computation OffloadingAdaptive Inference

    Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg, L-1855, Luxembourg · Computer Science Department, Vassar College, Poughkeepsie, NY 12604, USA · Instituto de Telecomunicações, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200–465 Porto, Portugal

  4. SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud

    Feb 27, 2026Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo +5LLM Inference ServingLLM Inference

    Singapore University of Technology and Design (SUTD)

  5. Carbon-aware decentralized dynamic task offloading in MIMO-MEC networks via multi-agent reinforcement learning

    Feb 21, 2026Mubshra Zulfiqar, Muhammad Ayzed Mirza, Basit QureshiComputation OffloadingCarbon-Aware Computing

    School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430000, Hubei, China · School of Computer Science and Information Engineering, Qilu Institute of Technology, Jinan, 250200, Shandong, China · Department of Computer Science, Prince Sultan University, Riyadh, 12435, Riyadh Province, Saudi Arabia

  6. Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference

    Feb 17, 2026Pragya Sharma, Hang Qiu, Mani SrivastavaDistributed InferenceCyber-Physical Systems

    University of California Los Angeles · University of California Riverside

  7. Audio-Visual Speech Enhancement: Architectural Design and Deployment Strategies

    Aug 11, 2025Anis Hamadouche, Haifeng Luo, Mathini Sellathurai +2Speech EnhancementEdge-Cloud Computing

    School of Engineering & Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK · SDAIA-KFUPM Joint Research Centre for Artificial Intelligence, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia · College of Engineering Department of Electrical and Computer Engineering, San Diego State University, USA