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DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Gao, Yubo, Tu, Renbo, Pekhimenko, Gennady, Vijaykumar, Nandita
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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