IEEE

Adaptive Semi-Asynchronous Federated Learning Over Wireless Networks

Abstract: Owing to the heterogeneous computation and communication capabilities among clients, the synchronous model aggregation in wireless federated learning (FL) is susceptible to the straggler ...
IEEE

Enhancing Both Generalization and Personalization in Personalized Federated Learning via Global and Local Knowledge Distillation

Abstract: Federated Learning (FL) is a distributed machine learning framework that incorporates privacy protection. Under the coordination of a central server, clients collaboratively train a global ...