Provably Robust Federated Reinforcement Learning.

Minghong Fang|Xilong Wang|Neil Zhenqiang Gong


Anthology ID:DBLP:conf/www/FangWG25
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:896-909
URL:https://doi.org/10.1145/3696410.3714728
DOI:https://doi.org/10.1145/3696410.3714728
DBLP:conf/www/FangWG25
BibTeX:
@inproceedings{fang-2025-provably, author = {Minghong Fang and Xilong Wang and Neil Zhenqiang Gong}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Provably Robust Federated Reinforcement Learning}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {896--909}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714728}, doi = {https://doi.org/10.1145/3696410.3714728} }