Pinyi Jin

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

Federated Graph Learning (FGL) has been shown to be particularly effective in enabling collaborative training of Graph Neural Networks (GNNs) in decentralized settings. Model-heterogeneous FGL further enhances practical applicability by accommodating client preferences for diverse model architecture…