2023
CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks
ICASSP 2023accepted
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…