Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks

Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira +1

Federated learning (FL) is an emerging paradigm that allows a central server to train machine learning models using remote users' data. Despite its growing popularity, FL faces cha…