End-to-End Verifiable and Robust Federated Learning

Doryan Lesaignoux, Enrique Mármol Campos, Gabriele Spini +2

Federated learning enables multiple parties to train a shared model without centralizing raw data with the help of an aggregator, but introduces integrity risks once participants o…