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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 351–375 of 1279 papers

TitleStatusHype
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks—0
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks—0
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing—0
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things—0
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things—0
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle—0
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network—0
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing—0
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions—0
Deep Unfolding with Kernel-based Quantization in MIMO Detection—0
Delay Characterization of Mobile Edge Computing for 6G Time-Sensitive Services—0
Delay Minimization for Movable Antennas-Enabled Anti-Jamming Communications With Mobile Edge Computing—0
Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing—0
Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach—0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning—0
Depthwise Separable Convolutions with Deep Residual Convolutions—0
Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing—0
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices—0
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing—0
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey—0
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA—0
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars—0
A proof of contribution in blockchain using game theoretical deep learning model—0
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