DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning

Kangyang Luo, Shuai Wang, Yexuan Fu +3

Federated Learning (FL) is a privacy-constrained decentralized machine learning paradigm in which clients enable collaborative training without compromising private data. However,…