Optimizing Face Recognition Inference with a Collaborative Edge–Cloud Network

The rapid development of deep-learning-based edge artificial intelligence applications and their data-driven nature has led to several research issues. One key issue is the collaboration of the edge and cloud to optimize such applications by increasing inference speed and reducing latency. Some rese...

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Detalles Bibliográficos
Autores principales: Oroceo, Paul P., Kim, Jeong-In, Caliwag, Ej Miguel Francisco, Kim, Sang-Ho, Lim, Wansu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658311/
https://www.ncbi.nlm.nih.gov/pubmed/36366070
http://dx.doi.org/10.3390/s22218371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658311/
https://www.ncbi.nlm.nih.gov/pubmed/36366070
http://dx.doi.org/10.3390/s22218371

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