Hongyan Gu

Federated Learning on Distributed Graphs Considering Multiple Heterogeneities

Federated graph learning (FGL) collaboratively learns a global graph neural network with distributed graphs, where a significant challenge is addressing non-IID issues. Existing work has not fully explored and utilized the intrinsic features of graphs, resulting in their inability to effectively sol…