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}
}