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

no code implementations • 12 Jun 2020 • 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 computation in the presence of malicious parties.

Federated Learning