2 papers
cs.LG2026
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…
cs.LG2024
Disentangle Estimation of Causal Effects from Cross-Silo Data
Yuxuan Liu, Haozhao Wang, Shuang Wang +4
Estimating causal effects among different events is of great importance to critical fields such as drug development. Nevertheless, the data features associated with events may be d…