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Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Dette, Holger, Graw, Carina
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Cryptography and Security Statistics Theory Computation
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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