Yuheng Wang

Federated graph learning with spatio-temporal dynamics for cross-border recommendation.

FedSTAR is proposed, a privacy-preserving cross-border recommendation framework that integrates spatio-temporal dynamic modeling with federated graph neural networks and delivers both high accuracy and strong robustness, offering a secure and practically viable solution for cross-border recommendation.