Perfectly-Private Analog Secure Aggregation in Federated Learning

Delio Jaramillo-Velez, Charul Rajput, Ragnar Freij-Hollanti +2

In federated learning, multiple parties train models locally and share their parameters with a central server, which aggregates them to update a global model. To address the risk o…