FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making

Customer churn prediction has become crucial for businesses, yet it poses significant challenges regarding privacy preservation and prediction accuracy. In this paper, we address two fundamental questions: (1) How can customer churn be effectively predicted while ensuring robust privacy protection o...

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Bibliographic Details
Main Authors: Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/15/8282
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