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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 726–750 of 1279 papers

TitleStatusHype
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services—0
Training Deep Neural Networks with Constrained Learning Parameters—0
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning—0
Training Machine Learning models at the Edge: A Survey—0
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing—0
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing—0
A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability—0
Trustworthy Graph Neural Networks: Aspects, Methods and Trends—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic—0
TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling—0
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing—0
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI—0
Turbo: Opportunistic Enhancement for Edge Video Analytics—0
Two-Hop Age of Information Scheduling for Multi-UAV Assisted Mobile Edge Computing: FRL vs MADDPG—0
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach—0
UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning—0
UAV-Assisted MEC for Disaster Response: Stackelberg Game-Based Resource Optimization—0
UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization—0
UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design—0
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces—0
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence—0
Uncertainty Estimation in Multi-Agent Distributed Learning—0
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices—0
Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders—0
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