Training Fair Models in Federated Learning without Data Privacy Infringement

Xin Che, Jingdi Hu, Zirui Zhou +2

Training fair machine learning models becomes more and more important. As many powerful models are trained by collaboration among multiple parties, each holding some sensitive data…