IEEE

FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With ...

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 ...
IEEE

Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization

Abstract: Federated Learning (FL) enables massive local data owners to collaboratively train a deep learning model without disclosing their private data. The importance of local data samples from ...