IEEE

SAMK: Secure Aggregation for Federated Learning Under Multiple Keys With Low Communication ...

Abstract: While multi-key homomorphic encryption (MKHE) ensures privacy in federated learning (FL) by encrypting model updates, its requirement for aggregate ...
IEEE

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning

Abstract: Secure aggregation protocols ensure the privacy of users’ data in federated learning by preventing the disclosure of local gradients. Many existing protocols impose significant communication ...