2 papers
cs.LG2026
Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration
Wentao Yu, Bo Han, Jie Yang +1
Graph Federated Learning (GFL) enables collaborative representation learning across distributed subgraphs while preserving privacy. However, heterogeneity remains a critical challe…
cs.LG2026
Graph Federated Unlearning for Privacy Preservation
Ruotong Ma, Wentao Yu, Qizhou Wang +2
Graph federated learning (GFL) facilitates decentralized training on distributed graph data while keeping sensitive user information local, aligning with policies such as GDPR and…