IEEE

Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs

Abstract: Federated learning (FL) in Vehicular Ad-hoc Networks (VANETs) enables vehicles to collaboratively train machine learning models by aggregating local gradients without revealing the training ...
IEEE

An Efficient and Multi-Private Key Secure Aggregation Scheme for Federated Learning

Abstract: In light of the emergence of privacy breaches in federated learning, secure aggregation protocols, which mainly adopt either homomorphic encryption or threshold secret sharing techniques, ...