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Privacy-Preserving Quantized Federated Learning with Diverse Precision

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Nguyen, Dang Qua, Hashemi, Morteza, Perrins, Erik, Vorobyov, Sergiy A., Love, David J., Kim, Taejoon
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Signal Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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