Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs

Longwen Wang, Jianchun Liu, Zhi Liu +1

Federated Graph Learning (FGL) is an emerging technology that enables clients to collaboratively train powerful Graph Neural Networks (GNNs) in a distributed manner without exposin…