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A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research.

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Title: A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research.
Authors: Salazar, Teresa1, tmsalazar@dei.uc.pt, Araujo, Helder2, helder@isr.uc.pt, Cano, Alberto3, acano@vcu.edu, Abreu, Pedro Henriques1, pha@dei.uc.pt
Source: Artificial Intelligence Review; Feb2026, Vol. 59 Issue 2, p1-54, 54p
Database: Applied Science & Technology Source
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  Data: A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research.
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Feb2026, Vol. 59 Issue 2, p1-54, 54p
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        Value: 10.1007/s10462-025-11475-5
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        Text: English
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              Text: Feb2026
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