Unlearning for Federated Online Learning to Rank: A Reproducibility Study.

Yiling Tao|Shuyi Wang|Jiaxi Yang|Guido Zuccon


Anthology ID:DBLP:conf/sigir/Tao0YZ25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3377-3386
URL:https://doi.org/10.1145/3726302.3730336
DOI:https://doi.org/10.1145/3726302.3730336
DBLP:conf/sigir/Tao0YZ25
BibTeX:
@inproceedings{tao-2025-unlearning, author = {Yiling Tao and Shuyi Wang and Jiaxi Yang and Guido Zuccon}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Unlearning for Federated Online Learning to Rank: A Reproducibility Study}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {3377--3386}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730336}, doi = {https://doi.org/10.1145/3726302.3730336} }