A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.
Yifei Zhang|Dun Zeng|Jinglong Luo|Zenglin Xu|Irwin King
| Anthology ID: | DBLP:conf/www/ZhangZLXK23 |
|---|---|
| Volume: | Companion 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: | 1167-1176 |
| URL: | https://doi.org/10.1145/3543873.3587681 |
| DOI: | https://doi.org/10.1145/3543873.3587681 |
| DBLP: | conf/www/ZhangZLXK23 |
| BibTeX: |
@inproceedings{zhang-2023-survey,
author = {Yifei Zhang and
Dun Zeng and
Jinglong Luo and
Zenglin Xu and
Irwin King},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {1167--1176},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587681},
doi = {https://doi.org/10.1145/3543873.3587681}
}