Abstract: Federated Learning (FL) is a promising paradigm for mining massive data while respecting users’ privacy. However, the deployment of FL on resource-constrained edge devices remains elusive ...

Abstract: Federated Learning (FL) has emerged as a promising solution to address data privacy concerns, but it also faces ob-stacles, including biased centralized aggregation. In this paper, we ...