Haiyang Liu

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 …

CDnet: Constrained Diffusion Graph Neural Networks under Feature Information Flow Routing for Node Classification

2024

In the data-driven era, graph data is widely distributed in multiple fields, and its complex network relationships pose higher challenges to data analysis models. Although graph neural networks (GNNs) perform well in processing non-Euclidean spatial …