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

FedCCS: Efficient Federated Learning with Clustering-Based Client Selection and Bandwidth ...

Abstract: Federated learning (FL) has emerged as the most promising distributed machine learning training framework due to its advantages in efficiency, privacy preservation, and scalability. In the ...