Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.

Mingyuan Fan|Yang Liu|Cen Chen|Chengyu Wang|Minghui Qiu|Wenmeng Zhou


Anthology ID:DBLP:conf/wsdm/FanLC0QZ24
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:190-198
URL:https://doi.org/10.1145/3616855.3635758
DOI:https://doi.org/10.1145/3616855.3635758
DBLP:conf/wsdm/FanLC0QZ24
BibTeX:
@inproceedings{fan-2024-guardian, author = {Mingyuan Fan and Yang Liu and Cen Chen and Chengyu Wang and Minghui Qiu and Wenmeng Zhou}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {190--198}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635758}, doi = {https://doi.org/10.1145/3616855.3635758} }