2 papers
cs.LG2025
A Comprehensive Data-centric Overview of Federated Graph Learning
Zhengyu Wu, Xunkai Li, Yinlin Zhu +8
In the era of big data applications, Federated Graph Learning (FGL) has emerged as a prominent solution that reconcile the tradeoff between optimizing the collective intelligence b…
cs.LG2025
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang, Xunkai Li, Yinlin Zhu +1
Federated graph learning is a widely recognized technique that promotes collaborative training of graph neural networks (GNNs) by multi-client graphs.However, existing approaches h…