Fed-S2: Adversarially Disentangled Federated Multimodal RAG for Safety-Critical Long-Tail Fault Diagnosis.
Qianqi Zhang|Zeling Xu|Caichun Cen|Yuntao Zou|Hongyan Liu|Yaohua Deng|Hao Wu|Zhiyong Liao|Zihui Lin|Dagang Li|Wei Wang
| Anthology ID: | DBLP:conf/www/ZhangXCZLDWLLLW26 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026 |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 898-908 |
| URL: | https://doi.org/10.1145/3774905.3795461 |
| DOI: | https://doi.org/10.1145/3774905.3795461 |
| DBLP: | conf/www/ZhangXCZLDWLLLW26 |
| BibTeX: |
@inproceedings{zhang-2026-feds2,
author = {Qianqi Zhang and
Zeling Xu and
Caichun Cen and
Yuntao Zou and
Hongyan Liu and
Yaohua Deng and
Hao Wu and
Zhiyong Liao and
Zihui Lin and
Dagang Li and
Wei Wang},
title = {{Fed-S2: Adversarially Disentangled Federated Multimodal RAG for Safety-Critical Long-Tail Fault Diagnosis}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026}},
pages = {898--908},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774905.3795461},
doi = {https://doi.org/10.1145/3774905.3795461}
}