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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–900 of 1279 papers

TitleStatusHype
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing—0
Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators—0
Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions—0
A Framework of RIS-assisted ICSC User-centric Based Systems: Latency Optimization and Design—0
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks—0
Reconfigurable Intelligent Surface for Sensing, Communication, and Computation: Perspectives, Challenges, and Opportunities—0
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach—0
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks—0
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence—0
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments—0
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing—0
Reliable Fleet Analytics for Edge IoT Solutions—0
Representation Similarity: A Better Guidance of DNN Layer Sharing for Edge Computing without Training—0
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning—0
Research on Resource Allocation for Efficient Federated Learning—0
Resolution Strategies for Networking the IoT at the Edge via Named Functions—0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification—0
Resource allocation algorithm for MEC based on Deep Reinforcement Learning—0
Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems—0
Resource Allocation for Semantic-Aware Mobile Edge Computing Systems—0
Resource Allocation for Stable LLM Training in Mobile Edge Computing—0
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing—0
Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model—0
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach—0
RIS-Assisted UAV for Timely Data Collection in IoT Networks—0
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach—0
Roadmap for Edge AI: A Dagstuhl Perspective—0
Robust Computation Offloading and Trajectory Optimization for Multi-UAV-Assisted MEC: A Multi-Agent DRL Approach—0
Robust Decentralized Learning with Local Updates and Gradient Tracking—0
Robustness of Neural Networks to Parameter Quantization—0
Robust Trajectory and Offloading for Energy-Efficient UAV Edge Computing in Industrial Internet of Things—0
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems—0
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning—0
RSSI-Assisted CSI-Based Passenger Counting with Multiple Wi-Fi Receivers—0
Run-Time Efficient RNN Compression for Inference on Edge Devices—0
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation—0
SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services—0
SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management—0
Satellite Internet of Things Research Report—0
SC2 Benchmark: Supervised Compression for Split Computing—0
Scalable Multi-task Edge Sensing via Task-oriented Joint Information Gathering and Broadcast—0
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems—0
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning—0
SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach—0
Search-time Efficient Device Constraints-Aware Neural Architecture Search—0
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain—0
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network—0
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection—0
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks—0
Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization—0
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