Título:
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Out-of-field generic ML training with in-field specific adaptation to facilitate ML deployments
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Autor/a:
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Shariati, Mohammad Behnam; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques |
Abstract:
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Abstract:
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A two-phase strategy to facilitate ML algorithm deployment in real networks is demonstrated: out-of-field training uses data from simulation and testbed experiments with generic equipment whereas in-field adaptation is applied to support heterogeneous equipment. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica -Machine learning -Optical fiber communication -Optical fibers -In-field -Ml algorithms -Real networks -Specific adaptations -Two phase -Aprenentatge automàtic -Comunicacions òptiques |
Derechos:
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Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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Compartir:
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