Post-processing fairness evaluation of federated models: an unsupervised approach in healthcare

Ilias Siniosoglou; Vasileios Argyriou; Panagiotis Sarigiannidis; Thomas Lagkas; Antonios Sarigiannidis; Sotirios K. Goudos; Shaohua Wan

doi:10.1109/TCBB.2023.3269767

Post-processing fairness evaluation of federated models: an unsupervised approach in healthcare

Ilias Siniosoglou
, Vasileios Argyriou
, Panagiotis Sarigiannidis
, Thomas Lagkas
, Antonios Sarigiannidis
, Sotirios K. Goudos
, Shaohua Wan

University of Western Macedonia
Kingston University
International Hellenic University
Sidroco Holdings Ltd
Aristotle University of Thessaloniki
University of Electronic Science and Technology of China

Research output: Contribution to journal › Article › peer-review

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Original language	English
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics
Early online date	25 Apr 2023
DOIs	https://doi.org/10.1109/TCBB.2023.3269767
Publication status	E-pub ahead of print - 25 Apr 2023

Bibliographical note

Note: This work was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 957406 (TERMINET).

Keywords

Computer science and informatics

Access to Document

10.1109/TCBB.2023.3269767

Argyriou-V-53998-AAMAccepted author manuscript, 6.81 MBLicence: Unspecified

https://doi.org/10.1109/TCBB.2023.3269767

Cite this

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title = "Post-processing fairness evaluation of federated models: an unsupervised approach in healthcare",

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author = "Ilias Siniosoglou and Vasileios Argyriou and Panagiotis Sarigiannidis and Thomas Lagkas and Antonios Sarigiannidis and Goudos, \{Sotirios K.\} and Shaohua Wan",

note = "Note: This work was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 957406 (TERMINET).",

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AU - Sarigiannidis, Panagiotis

AU - Lagkas, Thomas

AU - Sarigiannidis, Antonios

AU - Goudos, Sotirios K.

AU - Wan, Shaohua

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