Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication

Muah Kim, Onur Günlü, Rafael F. Schaefer

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…