Qingqing Xie

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

2024 · IEEE Transactions on Dependable and Secure Computing

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 data. To ensure no gradient is revealed during aggregation, proposals are …