Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling

Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi

Federated Learning (FL) enables clients to train a joint model without disclosing their local data. Instead, they share their local model updates with a central server that moderat…