FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning.
Zitong Li|Qingqing Ye|Haibo Hu
| Anthology ID: | DBLP:conf/www/Li0025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3366-3376 |
| URL: | https://doi.org/10.1145/3696410.3714711 |
| DOI: | https://doi.org/10.1145/3696410.3714711 |
| DBLP: | conf/www/Li0025 |
| BibTeX: |
@inproceedings{li-2025-funu,
author = {Zitong Li and
Qingqing Ye and
Haibo Hu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {3366--3376},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714711},
doi = {https://doi.org/10.1145/3696410.3714711}
}