"FairFML: Fair Federated Machine Learning with a Case Study on Reducing ..."

Siqi Li et al. (2024)

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DOI: 10.48550/ARXIV.2410.17269

access: open

type: Informal or Other Publication

metadata version: 2024-11-27

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  - journals/corr/abs-2410-17269
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  - https://dblp.org/rec/journals/corr/abs-2410-17269
Siqi Li, Qiming Wu, Xin Li, Di Miao, Chuan Hong, Wenjun Gu, Yuqing Shang, Yohei Okada, Michael Hao Chen, Mengying Yan, Yilin Ning, Marcus Eng Hock Ong, Nan Liu:
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction. CoRR abs/2410.17269 (2024)

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