An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging

César Sabater, Aurélien Bellet, Jan Ramon

Learning from data owned by several parties, as in federated learning, raises challenges regarding the privacy guarantees provided to participants and the correctness of the comput…