Federated learning with heavy-tailed gradient noise and communication noise: a variance-reduction based algorithm

Shengchao Zhao, Yongchao Liu

Federated learning (FL) is an emerging distributed machine learning paradigm that enables local devices to jointly train a global model while keeping data decentralized and private…