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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 701–725 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
Towards AIOps in Edge Computing Environments—0
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning—0
Towards Big data processing in IoT: network management for online edge data processing—0
Byzantine-resilient Decentralized Stochastic Gradient Descent—0
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets—0
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things—0
Towards Deterministic End-to-end Latency for Medical AI Systems in NVIDIA Holoscan—0
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware—0
Towards Efficient Model-Heterogeneity Federated Learning for Large Models—0
Towards Energy Efficient Distributed Federated Learning for 6G Networks—0
Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT—0
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring—0
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design—0
Towards Self-learning Edge Intelligence in 6G—0
Towards Sustainable Satellite Edge Computing—0
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