CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning

Samuel Maddock, Alexandre Sablayrolles, Pierre Stock

Federated Learning (FL) is a setting for training machine learning models in distributed environments where the clients do not share their raw data but instead send model updates t…