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Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Li, Fei, Loo, Chu Kiong, Liew, Wei Shiung, Liu, Xiaofeng
Formato:	Preprint
Publicado:	2024
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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