Power Efficient Machine Learning Models Deployment on Edge IoT Devices.

Fanariotis, Anastasios; Orphanoudakis, Theofanis; Kotrotsios, Konstantinos; Fotopoulos, Vassilis; Keramidas, George; Karkazis, Panagiotis

Fanariotis, Anastasios; Orphanoudakis, Theofanis; Kotrotsios, Konstantinos; Fotopoulos, Vassilis; Keramidas, George; Karkazis, Panagiotis.

Afiliación

Fanariotis A; Digital Systems and Media Computing Lab, School of Sciences and Technology, Hellenic Open University, 26334 Patras, Greece.
Orphanoudakis T; Digital Systems and Media Computing Lab, School of Sciences and Technology, Hellenic Open University, 26334 Patras, Greece.
Kotrotsios K; Digital Systems and Media Computing Lab, School of Sciences and Technology, Hellenic Open University, 26334 Patras, Greece.
Fotopoulos V; Digital Systems and Media Computing Lab, School of Sciences and Technology, Hellenic Open University, 26334 Patras, Greece.
Keramidas G; Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Karkazis P; Digital Systems and Media Computing Lab, School of Sciences and Technology, Hellenic Open University, 26334 Patras, Greece.

Sensors (Basel) ; 23(3)2023 Feb 01.

Article en En | MEDLINE | ID: mdl-36772635

Palabras clave

autonomous systems; edge computing; machine learning; neural networks compression; power efficiency

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza

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