Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator

Kangyang Luo, Shuai Wang, Xiang Li +3

Federated Learning (FL) is gaining popularity as a distributed learning framework that only shares model parameters or gradient updates and keeps private data locally. However, FL…