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PiPar: Pipeline Parallelism for Collaborative Machine Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Zhang, Zihan, Rodgers, Philip, Kilpatrick, Peter, Spence, Ivor, Varghese, Blesson
Formato:	Preprint
Publicado:	2022
Materias:	Distributed, Parallel, and Cluster Computing Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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