Practical and Private Heterogeneous Federated Learning

no code implementations • 29 Sep 2021 • Hanxiao Chen, Meng Hao, Hongwei Li, Guangxiao Niu, Guowen Xu, Huawei Wang, Yuan Zhang, Tianwei Zhang

Heterogeneous federated learning (HFL) enables clients with different computation/communication capabilities to collaboratively train their own customized models, in which the knowledge of models is shared via clients' predictions on a public dataset.

Federated Learning Privacy Preserving