Open access
Jul 2026
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.
Zhizhong Tan, Yuheng Wang, Jiexin Zheng et al.
· Scientific Reports · 0 citations