Federated Differentially Private Optimization via Low-Rank Preconditioning

Antti Koskela, Tejas Kulkarni, Elias Raninen

We consider differentially private (DP) optimization in the federated setting, where a DP estimate of the feature covariance matrix serves as a Hessian approximation for generalize…