Differentially Private Federated Learning without Noise Addition: When is it Possible?

no code implementations • 6 May 2024 • Jiang Zhang, Yahya H Ezzeldin, Ahmed Roushdy Elkordy, Konstantinos Psounis, Salman Avestimehr

However, we further demonstrate that in practice, these conditions are almost unlikely to hold and hence additional noise added in model updates is still required in order for SA in FL to achieve DP.

Federated Learning Privacy Preserving