Knowledge-Driven Federated Graph Learning on Model Heterogeneity

Zhengyu Wu, Guang Zeng, Huilin Lai +7

Federated graph learning (FGL) has emerged as a promising paradigm for collaborative graph representation learning, enabling multiple parties to jointly train models while preservi…