Fanchao Meng

FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning

Federated learning (FL) enables collaborative model training across multiple parties without sharing raw data, with semi-asynchronous FL (SAFL) emerging as a balanced approach between synchronous and asynchronous FL. However, SAFL faces significant challenges in optimizing both gradient-based (e.g.,…