Enyue Yang

FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation

2026 · ACM Transactions on Information Systems

Most existing GNN-based recommendation methods focus on exploiting a user–item heterogeneous graph, which, however, will cause efficiency and effectiveness challenges, in a federated learning setting considering user privacy. We find that a user–user or item–item …