FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning.

Yudong Zhang|Xu Wang|Xuan Yu|Kuo Yang|Zhengyang Zhou|Yang Wang


Anthology ID:DBLP:conf/www/ZhangWYYZW25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1534-1538
URL:https://doi.org/10.1145/3701716.3715562
DOI:https://doi.org/10.1145/3701716.3715562
DBLP:conf/www/ZhangWYYZW25
BibTeX:
@inproceedings{zhang-2025-fedstg, author = {Yudong Zhang and Xu Wang and Xuan Yu and Kuo Yang and Zhengyang Zhou and Yang Wang}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {1534--1538}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715562}, doi = {https://doi.org/10.1145/3701716.3715562} }