no code implementations • 22 Apr 2024 • Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di wu, Miao Hu, Rong-Hua Li
Subgraph federated learning (subgraph-FL) is a new distributed paradigm that facilitates the collaborative training of graph neural networks (GNNs) by multi-client subgraphs.
1 code implementation • 22 Jan 2024 • Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang
Existing FGL studies fall into two categories: (i) FGL Optimization, which improves multi-client training in existing machine learning models; (ii) FGL Model, which enhances performance with complex local models and multi-client interactions.