Overview of fair federated learning for fairness and privacy preservation

In the rapidly advancing field of machine learning, federated learning (FL) has facilitated a paradigm shift, enabling collaborative model development across multiple distributed entities while preserving data privacy. FL has recently gained considerable attention as a solution for collaborative mac...

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Veröffentlicht in:	Expert systems with applications Jg. 293; S. 128568
Hauptverfasser:	Kim, Dohyoung, Oh, Kyoungsu, Lee, Youngho, Woo, Hyekyung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025
Schlagworte:	Data science maturity Distributed computing methodologies Fair federated learning Fairness Privacy preservation Privacy preservation Distributed computing methodologies Data science maturity Fair federated learning Fairness
ISSN:	0957-4174
Online-Zugang:	Volltext
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