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
Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
Wentao Yu, Sheng Wan, Shuo Chen +2
Graph Federated Learning (GFL) enables distributed graph representation learning while protecting the privacy of graph data. However, GFL suffers from heterogeneity arising from di…