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} }