title: Client level differential privacy in Tensorflow Federated (Local DP)
body: <p>I want to implement local DP model using TFF, that is, each client trains it's own differentially private model and sends noisy gradients to the server, and the server just aggregates and distributes in a standard FL fashion. I tried changing the client optimizer to keras DP optimizer, but that didnt work. Any suggestions are appreciated.</p>