Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach

Changxin Xu, Yuxin Qiao, Zhanxin Zhou +2

Federated Learning (FL) is a distributed machine learning paradigm that allows clients to train models on their data while preserving their privacy. FL algorithms, such as Federate…