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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1151–1175 of 1279 papers

TitleStatusHype
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC—0
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach—0
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems—0
Byzantine-resilient Decentralized Stochastic Gradient Descent—0
Robustness analytics to data heterogeneity in edge computingCode0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions—0
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks—0
Energy-Efficient Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data Partitioning—0
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing—0
Performance-Oriented Neural Architecture Search—0
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference—0
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach—0
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices—0
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence—0
Intelligent Reflecting Surface Enhanced Resilient Design for MEC Offloading over Millimeter Wave Links—0
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems—0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS—0
Towards Hardware-Aware Tractable Learning of Probabilistic ModelsCode0
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers—0
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks—0
Scientific Image Restoration AnywhereCode1
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing—0
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsCode0
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