PraFFL: A Preference-Aware Scheme in Fair Federated Learning

Fairness in federated learning has emerged as a critical concern, aiming to develop an unbiased model among groups (e.g., male or female) of diverse sensitive features. However, there is a trade-off between model performance and fairness, i.e., improving model fairness will decrease model performanc...

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Hauptverfasser:	Ye, Rongguang, Kou, Wei-Bin, Tang, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computers and Society Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning
Online-Zugang:	Volltext bestellen
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