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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1201–1225 of 1279 papers

TitleStatusHype
SleepGuardian: An RF-based Healthcare System Guarding Your Sleep from Afar—0
Machine Learning at the Network Edge: A SurveyCode1
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference—0
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing—0
A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing—0
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization—0
On the Convergence of FedAvg on Non-IID DataCode1
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning ApplicationsCode0
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin—0
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices—0
Active Learning Solution on Distributed Edge Computing—0
Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems—0
Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach—0
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing—0
Run-Time Efficient RNN Compression for Inference on Edge Devices—0
OpenEI: An Open Framework for Edge Intelligence—0
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge IntelligenceCode0
DeepShift: Towards Multiplication-Less Neural NetworksCode0
Toward Runtime-Throttleable Neural Networks—0
Age Based Task Scheduling and Computation Offloading in Mobile-Edge Computing Systems—0
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing—0
Towards Big data processing in IoT: network management for online edge data processing—0
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing—0
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty—0
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