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Private Rate-Constrained Optimization with Applications to Fair Learning

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Yaghini, Mohammad, Cebere, Tudor, Menart, Michael, Bellet, Aurélien, Papernot, Nicolas
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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