Constrained Differentially Private Federated Learning for Low-bandwidth Devices

Raouf Kerkouche, Gergely Ács, Claude Castelluccia +1

Federated learning becomes a prominent approach when different entities want to learn collaboratively a common model without sharing their training data. However, Federated learnin…