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REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Desai, Humaid Ahmed, Hilal, Amr, Eldardiry, Hoda
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning 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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