Eluding Secure Aggregation in Federated Learning via Model Inconsistency

Dario Pasquini, Danilo Francati, Giuseppe Ateniese

Secure aggregation is a cryptographic protocol that securely computes the aggregation of its inputs. It is pivotal in keeping model updates private in federated learning. Indeed, t…