Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data

Huancheng Chen, Haris Vikalo

Federated learning (FL) is a privacy-promoting framework that enables potentially large number of clients to collaboratively train machine learning models. In a FL system, a server…