Elad Sofer

CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks

Federated learning (FL) allows a central server to train a model using remote users’ data. FL faces challenges in preserving the local datasets privacy and in its communication overhead; which is considerably dominant in large-scale networks. These limitations are often mitigated individually by loc…