P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network.
Zheng Wang|Wanwan Wang|Yimin Huang|Zhaopeng Peng|Ziqi Yang|Ming Yao|Cheng Wang|Xiaoliang Fan
| Anthology ID: | DBLP:conf/www/WangWHPYYWF25 |
|---|---|
| Volume: | 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: | 2924-2934 |
| URL: | https://doi.org/10.1145/3696410.3714721 |
| DOI: | https://doi.org/10.1145/3696410.3714721 |
| DBLP: | conf/www/WangWHPYYWF25 |
| BibTeX: |
@inproceedings{wang-2025-p4gcn,
author = {Zheng Wang and
Wanwan Wang and
Yimin Huang and
Zhaopeng Peng and
Ziqi Yang and
Ming Yao and
Cheng Wang and
Xiaoliang Fan},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2924--2934},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714721},
doi = {https://doi.org/10.1145/3696410.3714721}
}