Muah Kim

Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and Communication

Federated learning (FL) allows to train a massive amount of data privately due to its decentralized structure. Stochastic gradient descent (SGD) is commonly used for FL due to its good empirical performance, but sensitive user information can still be inferred from weight updates shared during FL it…