IEEE

Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network

Abstract: Federated graph attention networks (FGATs) are gaining prominence for enabling collaborative and privacy-preserving graph model training. The attention mechanisms in FGATs enhance the focus ...
IEEE

Adaptive Privacy Budget Allocation in Federated Learning: A Multi-Agent Reinforcement Learning Approach

Abstract: Federated learning is a popular distributed machine learning paradigm that keeps data locally at clients. To further enhance privacy protection, differential privacy techniques are ...