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Edge-computing

Deep Learning on EDGE devices

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Showing 1151–1175 of 1279 papers

TitleStatusHype
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression—0
A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing—0
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks—0
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework—0
Sparse Optimization for Green Edge AI Inference—0
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks—0
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
Byzantine-resilient Decentralized Stochastic Gradient Descent—0
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems—0
Robustness analytics to data heterogeneity in edge computingCode0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions—0
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
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach—0
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference—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
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