Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks
IEEE Transactions on Machine Learning in Communications and Networking（2025）
Key words
Federated learning,edge computing,worker selection,algorithm parameter configuration,deep reinforcement learning,multi-agent reinforcement learning
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