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} }