Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti. Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023, Chicago, IL, USA, June 12-15, 2023. pages 1599-1608, ACM, 2023. [doi]
@inproceedings{PoulainTB23,
title = {Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods},
author = {Raphael Poulain and Mirza Farhan Bin Tarek and Rahmatollah Beheshti},
year = {2023},
doi = {10.1145/3593013.3594102},
url = {https://doi.org/10.1145/3593013.3594102},
researchr = {https://researchr.org/publication/PoulainTB23},
cites = {0},
citedby = {0},
pages = {1599-1608},
booktitle = {Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023, Chicago, IL, USA, June 12-15, 2023},
publisher = {ACM},
}