Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience.

Yanjun Zhang|Ruoxi Sun|Liyue Shen|Guangdong Bai|Minhui Xue|Mark Huasong Meng|Xue Li|Ryan K. L. Ko|Surya Nepal


Anthology ID:DBLP:conf/www/Zhang0SBXMLKN24
Volume:Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2986-2997
URL:https://doi.org/10.1145/3589334.3645545
DOI:https://doi.org/10.1145/3589334.3645545
DBLP:conf/www/Zhang0SBXMLKN24
BibTeX:
@inproceedings{zhang-2024-privacypreserving, author = {Yanjun Zhang and Ruoxi Sun and Liyue Shen and Guangdong Bai and Minhui Xue and Mark Huasong Meng and Xue Li and Ryan K. L. Ko and Surya Nepal}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {2986--2997}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645545}, doi = {https://doi.org/10.1145/3589334.3645545} }