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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 701–710 of 1279 papers

TitleStatusHype
TinyML: Tools, Applications, Challenges, and Future Research Directions—0
TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing—0
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey—0
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs—0
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices—0
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission—0
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing—0
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless—0
Toward Runtime-Throttleable Neural Networks—0
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap—0
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