MobilePrune: Neural Network Compression via ℓ(0) Sparse Group Lasso on the Mobile System

It is hard to directly deploy deep learning models on today’s smartphones due to the substantial computational costs introduced by millions of parameters. To compress the model, we develop an [Formula: see text]-based sparse group lasso model called MobilePrune which can generate extremely compact n...

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Detalles Bibliográficos
Autores principales: Shao, Yubo, Zhao, Kaikai, Cao, Zhiwen, Peng, Zhehao, Peng, Xingang, Li, Pan, Wang, Yijie, Ma, Jianzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185446/
https://www.ncbi.nlm.nih.gov/pubmed/35684708
http://dx.doi.org/10.3390/s22114081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185446/
https://www.ncbi.nlm.nih.gov/pubmed/35684708
http://dx.doi.org/10.3390/s22114081

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