FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
Yingguang Yang|Renyu Yang|Hao Peng|Yangyang Li|Tong Li|Yong Liao|Pengyuan Zhou
| Anthology ID: | DBLP:conf/www/YangYPLLLZ23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1314-1323 |
| URL: | https://doi.org/10.1145/3543507.3583500 |
| DOI: | https://doi.org/10.1145/3543507.3583500 |
| DBLP: | conf/www/YangYPLLLZ23 |
| BibTeX: |
@inproceedings{yang-2023-fedack,
author = {Yingguang Yang and
Renyu Yang and
Hao Peng and
Yangyang Li and
Tong Li and
Yong Liao and
Pengyuan Zhou},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {1314--1323},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583500},
doi = {https://doi.org/10.1145/3543507.3583500}
}