POPri: Private Federated Learning using Preference-Optimized Synthetic Data

Charlie Hou, Mei-Yu Wang, Yige Zhu +2

In practical settings, differentially private Federated learning (DP-FL) is the dominant method for training models from private, on-device client data. Recent work has suggested t…