Ali Ghafelebashi

Private Non-Convex Federated Learning Without a Trusted Server

We study federated learning (FL) with non-convex loss functions and data from people who do not trust the server or other silos. In this setting, each silo (e.g. hospital) must protect the privacy of each person’s medical record), even if the server or other silos act as adversarial eavesdroppers. T…