Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning

Zhuoning Guo, Ruiqian Han, Hao Liu

Federated Graph Learning (FGL) aims to collaboratively and privately optimize graph models on divergent data for different tasks. A critical challenge in FGL is to enable effective…