Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units

Autor:	Cristian Peñaranda, Carlos Reaño, Federico Silla
Rok vydání:	2022
Předmět:	Computational Theory and Mathematics Computer Networks and Communications Software Computer Science Applications Theoretical Computer Science
Zdroj:	Concurrency and Computation: Practice and Experience.
ISSN:	1532-0634 1532-0626
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::12e4fbefd47f1a1bffc6cdb60b6629bd https://doi.org/10.1002/cpe.7328 Zobrazit plný text záznamu Plný text