Sharpness-aware Federated Graph Learning.
Ruiyu Li|Peige Zhao|Guangxia Li|Pengcheng Wu|Xingyu Gao|Zhiqiang Xu
| Anthology ID: | DBLP:conf/wsdm/LiZLWG026 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 345-355 |
| URL: | https://doi.org/10.1145/3773966.3777989 |
| DOI: | https://doi.org/10.1145/3773966.3777989 |
| DBLP: | conf/wsdm/LiZLWG026 |
| BibTeX: |
@inproceedings{li-2026-sharpnessaware,
author = {Ruiyu Li and
Peige Zhao and
Guangxia Li and
Pengcheng Wu and
Xingyu Gao and
Zhiqiang Xu},
title = {{Sharpness-aware Federated Graph Learning}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {345--355},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777989},
doi = {https://doi.org/10.1145/3773966.3777989}
}