Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration
arXiv:2605.06260v1 Announce Type: new
Abstract: Graph Federated Learning (GFL) enables collaborative representation learning across distributed subgraphs while preserving privacy. However, heterogeneity remains a critical challenge, as subgraphs acros…