Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs

Yuxuan Liu, Wenchao Xu, Haozhao Wang +5

Federated Graph Learning (FGL) has emerged as a powerful paradigm for decentralized training of graph neural networks while preserving data privacy. However, existing FGL methods a…