Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI

Fuente: arXiv

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Bibliographic Details
Main Authors:	Wasif, Dawood, Chen, Dian, Madabushi, Sindhuja, Alluru, Nithin, Moore, Terrence J., Cho, Jin-Hee
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Cryptography and Security Distributed, Parallel, and Cluster Computing Emerging Technologies
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.16233