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. CRISP: Co-designing Pruning and Scheduling for Efficient MoE Inference on Edge Servers

    Oct 27, 2026Congwei Zhang, Youming Tao, Yifei Zou +6Mixture-of-Experts InferenceMemory-Efficient Inference

  2. Multi-view Semantic-aware Resource Allocation for Edge AI

    Oct 25, 2026Jiawei Luo, Hussein Saleh, Mohamad AssaadWireless Resource AllocationSemantic Communication

  3. Securing Edge & Physical AI: Post-Quantum IoT Blockchain for Mission-Critical Cyber-Physical Agents

    Oct 24, 2026Kürşat Çakal, Suat ÖzdemirCPS SecurityMulti-Agent System Security

  4. Adaptive Deadline- and Energy-Aware Caching Algorithms in Dynamic Multi-UAV Edge Networks

    Oct 22, 2026Jian Kim, Ki-Il KimUAV CommunicationEdge Computing

  5. Benchmarking Model Compression Techniques Across Heterogeneous Edge Platforms: A Predictive Maintenance Use Case for Rotating Machinery

    Oct 21, 2026Matheus Calheira Guimarães de Oliveira, Marco Aurélio da Silva Cruz, Regis Cardoso +9Model CompressionEdge Inference

  6. DetM-Tracker: Deterministic and Memory-Efficient VIS for Autonomous Industrial Inspection

    Oct 21, 2026You-Rui Lin, Jen-Chieh Wu, Tzu-Ti Wei +2Video Instance SegmentationIndustrial Inspection

  7. Localization and Neural Splatting on the Edge: An FPGA Scene Memory for Robots

    Oct 18, 2026Haohua Que, Mingkai Liu, Tianle Zhu +13DGS AccelerationFPGA Acceleration

  8. EdgeKernelBench: Unified LLM-Driven Kernel Generation for Edge Backends

    Oct 17, 2026Yuhua Zheng, Xueyi Chen, Xinze Zou +3Large Language Model-Guided OptimizationEdge Computing

  9. Analog RF Computing for Integrated Data and AI Flows Over Wireless Networks

    Oct 14, 2026Wentao Yu, Vincent W. S. WongWireless Resource AllocationEdge Computing

  10. Seeing at the Edge: Energy Characterization of Vision-Language Model Inference on Edge Platforms

    Oct 14, 2026Junlin Liao, Harshit Kondle, Di Liu +1Efficient VLM InferenceVLM Inference

  11. Towards Resilience: Slice-Driven Orchestration of Mobile IoMT in 6G-Edge-Continuum

    Oct 12, 2026Muhammad Zeeshan, Hafiz Faheem Shahid, Erkki HarjulaNetwork SlicingEdge Computing

  12. Conflict-Aware Autonomous Resource Orchestration for 5G Edge Slicing Using Multi-Agent Systems and LLMs

    Oct 10, 2026Nathan R. Prediger, Rodrigo Moreira, Juliano Araujo Wickboldt +4Network SlicingEdge Computing

  13. Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins

    Oct 9, 2026Murat Arda Onsu, Arman Dogru, Poonam Lohan +2Trajectory ReconstructionIntelligent Transportation Systems

  14. 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

  15. Multi-Source and Multi-Dimensional Information Fusion in Resource-Constrained Edge Networks

    Oct 9, 2026Yushi Wang, Zhengxin Yu, Guhan Zheng +2Multimodal FusionEdge Computing

  16. Digital Twin for Pre-Deployment Validation of AI-Driven Safety-Critical Industrial Edge Control Loops

    Oct 8, 2026Sara Cavallero, Federico Tonini, Tony Chahoud +5Digital TwinsCyber-Physical Systems

  17. Deadline-Aware Multi-Agent Reinforcement Learning for TSN-Based Vehicular Edge Networks

    Oct 7, 2026Bernardo A. C. Pereira, Marcos Carvalho, Fatih Temiz +5Edge ComputingMulti-Agent Reinforcement Learning

  18. Efficient 3D Gaussian Head Avatars for Edge Devices

    Oct 7, 2026Umar Farooq, Jean-Yves Guillemaut, Adrian Hilton +13D Avatar Generation3D Gaussian Splatting

  19. 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

  20. Co-Optimizing Graph Sparsification and Approximate Computing for Energy-Efficient FPGA-Based GCN Inference

    Oct 5, 2026Nathaniel Kaye Mellor, Shreejith Shanker, George FlorosEdge ComputingGraph Sparsification

  21. JASPER: Special Session on Joint Reliability And Security Assessment of SPlit Computing for Edge Robustness

    Oct 3, 2026Enrico Magliano, Giuseppe Esposito, Amir Hossein Shahdadian +13Edge ComputingAdversarial Robustness

  22. Edge-Assisted Multi-View Localization for Low-Altitude Economy under GPS-Challenged Environments

    Sep 28, 2026Zhengru Fang, Huanhuan Lou, Senkang Hu +5Edge ComputingGNSS-Denied Localization

  23. EdgeCraft: Automated Model Crafting for Edge IoT

    Sep 28, 2026Genglin Wang, Kaiwei Liu, Liekang Zeng +4Edge ComputingInternet of Things

  24. Analytical and Convolutional Neural Network-Based Motion-Vector Propagation for Efficient Video Object Detection

    Sep 28, 2026Ashiyana Abdul Majeed, Mahmoud Meribout, Neethu JosephEfficient Neural Network InferenceEdge Computing

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

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