Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping

Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping. Reguero, Á. D., Martínez-Fernández, S., & Verdecchia, R. Comput. Stand. Interfaces, 92:103906, 2025.

Paper doi bibtex

@article{DBLP:journals/csi/RegueroMV25,
    author = "Reguero, {\'{A}}lvaro Domingo and Mart{\'{\i}}nez{-}Fern{\'{a}}ndez, Silverio and Verdecchia, Roberto",
    title = "Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping",
    journal = "Comput. Stand. Interfaces",
    volume = "92",
    pages = "103906",
    year = "2025",
    url = "https://doi.org/10.1016/j.csi.2024.103906",
    doi = "10.1016/J.CSI.2024.103906",
    timestamp = "Mon, 09 Dec 2024 00:00:00 +0100",
    biburl = "https://dblp.org/rec/journals/csi/RegueroMV25.bib",
    bibsource = "dblp computer science bibliography, https://dblp.org"
}

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