IEEE

D2D-Assisted Hierarchical Federated Learning With Clustering Based on Graph Convolutional ...

Abstract: Federated Learning (FL) is a popular privacy-preserving machine learning paradigm, enabling collaborative training among distributed devices coordinated by a central server, without ...
IEEE

Robust and Fair Federated Learning Based on Model-Agnostic Shapley Value

Abstract: Federated Learning (FL) has emerged as a promising framework for privacy-preserving machine learning. FL enables distributed data owners (clients) to collaboratively train a global model ...