A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research

AuthID
 P-017-G9N
4
Author(s)
Salazar, T
·
Araujo, H
·
Cano, A
·
Tipo de Documento
Article
Year published
2026
Publicado
in ARTIFICIAL INTELLIGENCE REVIEW, ISSN: 0269-2821
Volume: 59, Número: 2
Indexing
Wos®
Scopus®
Dblp®/pt/publications/view/1294645
Google Scholar®
Publication Identifiers
DBLP: journals/corr/abs-2410-03855
SCOPUS: 2-s2.0-105028249568
Wos: WOS:001668906700001
Source Identifiers
ISSN: 0269-2821
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