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} }