Learning Client Selection Strategy for Federated Learning Across Heterogeneous Mobile Devices
2024 25TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, ISQED 2024（2024）
关键词
Mobile Devices,Federated Learning,Client Selection,Heterogeneous Mobile Devices,Model Performance,Training Data,System Performance,Internet Of Things,Performance Accuracy,Training Environment,Client Data,Federated Learning Algorithm,System Dynamics,Deep Neural Network,Global Model,Test Accuracy,Simulation Environment,Types Of Devices,Training Loss,Sub-models,Deep Neural Network Model,Local Training,Multi-agent Reinforcement Learning,Central Server,Processing Latency,Communication Cost,Federated Learning Framework,Training Round,Exit Point,Input State
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