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. Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution

    Oct 13, 2026Pengcheng Huang, Zhenghao Liu, Shixin Ren +5Edge-Cloud Collaborative InferenceEdge-Cloud Computing

  2. Seamless Deployment of Machine Learning Inference at the Far Edge: An Empirical AWS IoT Greengrass Architecture for Industrial Predictive Maintenance

    Oct 10, 2026Prince Kwabena Appiah Boadu, Jeffery Baafi Kyei, Enoch Kofi Koranteng +1Edge InferenceIndustrial Internet of Things

  3. Sustainable Cloud-Fog-Edge Systems for Smart Buildings: Algorithmic Adaptation under Memory Constraints and Dynamic Orchestration Strategies

    Oct 9, 2026Mamadou Sow, Christophe CerinEdge-Cloud ComputingEdge Computing

  4. DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching

    Oct 6, 2026Jingpo Xu, Paul Joe Maliakel, Ivona Brandic +1LLM InferenceEdge-Cloud Collaborative Inference

  5. Towards a Cloud Fog Edge System for Smart Building

    Oct 1, 2026Christophe Cérin, Mamadou Sow, Frédéric AndrèsOn-Device TrainingEdge ML

  6. ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum

    Sep 29, 2026Javier Mateos-Bravo, Sergio Laso, Juan Luis Herrera +3RL ControlOnline Resource Allocation

  7. PORTER: Edge-Cloud Residency for Persistent 3D Scene Graph Memory

    Sep 27, 2026Yue Chang, Yifan Tian, Jiajing Peng +53D SGGEdge Computing

  8. IMPACT: Intent-driven Multi-agent Policy with Attention for SLO-guaranteed Microservice Migration in Cloud-edge Systems

    Sep 21, 2026Xinjin Li, Siru Tao, Shihan Yin +6Edge-Cloud ComputingCooperative MARL

  9. Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum

    Sep 16, 2026Carolina Fortuna, Vid Hanžel, Tim Strnad +1LLM Inference EfficiencyEnergy-Efficient ML

  10. ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application Execution

    Sep 13, 2026Baixi Sun, Mingze Xia, Huihuo ZhengScientific Workflow AutomationAI for Science

  11. Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems

    Sep 11, 2026Aikaterini Maria Panteleaki, Varatheepan Paramanayakam, Spyros Tragoudas +1LLM RoutingCarbon-Aware Computing

  12. Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management

    Sep 8, 2026Antonino Vaccarella, Lanpei Li, Vincenzo Lomonaco +1Language Model-Based ControlLLM-Guided RL

  13. Streaming Hierarchical Inference with Tabular Foundation Models

    Sep 7, 2026Vitor Crista, Afonso Lourenço, Diogo Martinho +1Tabular Foundation ModelsEfficient Inference

  14. PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing

    Sep 3, 2026Yangshuo Qi, Chenwei Wang, Zihan Shen +1Edge-Cloud Computing

  15. Update for Decisions, Not Freshness: Goal-Oriented Status Updating and Selective Offloading at the Network Edge

    Sep 1, 2026Jianpeng Qi, Qiyang Zhang, Chao Liu +5Partially Observable RLCooperative MARL

  16. Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM Inference

    Aug 28, 2026Xinyuan Gui, Shaowen Wang, Sheng Sun +3Edge-Cloud Collaborative InferenceLLM Routing

  17. 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

  18. A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings

    Aug 13, 2026Hei Ting, Chan, Chenwei Wu +8Efficient Multimodal InferenceHealthcare

  19. 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

  20. OsteoCAD: A Human-in-the-Loop Cloud-Edge Framework for Bone Tumor Segmentation

    Jul 31, 2026Maximo Rodriguez-Herrero, Dante D. Sanchez-Gallegos, Heriberto Aguirre-Meneses +3Interactive Medical Image SegmentationMedical Image Segmentation

  21. The AnyLog Edge Data Fabric

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

  22. LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM Inference

    Jul 30, 2026Feng Yang, Xinrui Ju, Keyang Zhang +6Edge-Cloud Collaborative InferenceEfficient VLM Inference

  23. Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

    Jul 23, 2026Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4Edge-Cloud ComputingEdge AI

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

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

  25. Hybrid multi-objective evolutionary algorithms for service placement in the computing continuum: a comparative study with genetic traceability

    Jul 14, 2026Sergi Vivo, Carlos Guerrero, Isaac LeraEvolutionary OptimizationMulti-Objective Evolutionary Optimization

  26. DynaFilter: Cloud-driven Dynamic Filtering for Satellite Edge Intelligence

    Jul 11, 2026Ziyang Zhang, Jie Liu, Luca MottolaEdge InferenceRemote Sensing

  27. Budget-Adaptive Routing: Skipping the Weak When the Strong Answers Anyway

    Jun 29, 2026Wei Geng, Nitinder Mohan, Jörg OttAdaptive Model RoutingEdge Inference