FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With Heterogeneous Data
Abstract: Federated Learning (FL) enables multiple data owners to jointly train a machine learning model, which can improve joint environmental cognitive capability without disclosing their private ...
Abstract: Federated learning empowers multiple parties to train machine learning models collaboratively while preserving data within local confines. However, due to the intrinsic non-independent and ...
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