Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management.
Zengxiang Li|Zhaoxiang Hou|Hui Liu|Tongzhi Li|Chengyi Yang|Ying Wang|Chao Shi|Longfei Xie|Weishan Zhang|Liang Xu|Zelei Liu
| Anthology ID: | DBLP:conf/www/LiHLLYWSXZ0L24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1578-1585 |
| URL: | https://doi.org/10.1145/3589335.3651939 |
| DOI: | https://doi.org/10.1145/3589335.3651939 |
| DBLP: | conf/www/LiHLLYWSXZ0L24 |
| BibTeX: |
@inproceedings{li-2024-federated,
author = {Zengxiang Li and
Zhaoxiang Hou and
Hui Liu and
Tongzhi Li and
Chengyi Yang and
Ying Wang and
Chao Shi and
Longfei Xie and
Weishan Zhang and
Liang Xu and
Zelei Liu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {1578--1585},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651939},
doi = {https://doi.org/10.1145/3589335.3651939}
}