Privacy-Preserving Online Content Moderation: A Federated Learning Use Case.
Pantelitsa Leonidou|Nicolas Kourtellis|Nikos Salamanos|Michael Sirivianos
| Anthology ID: | DBLP:conf/www/LeonidouKSS23 |
|---|---|
| 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: | 280-289 |
| URL: | https://doi.org/10.1145/3543873.3587604 |
| DOI: | https://doi.org/10.1145/3543873.3587604 |
| DBLP: | conf/www/LeonidouKSS23 |
| BibTeX: |
@inproceedings{leonidou-2023-privacypreserving,
author = {Pantelitsa Leonidou and
Nicolas Kourtellis and
Nikos Salamanos and
Michael Sirivianos},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Privacy-Preserving Online Content Moderation: A Federated Learning Use Case}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {280--289},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587604},
doi = {https://doi.org/10.1145/3543873.3587604}
}