Deep Learning for the Internet of Things

Shuochao Yao, Yiran Zhao, Aston Zhang, Shaohan Hu, Huajie Shao, Chao Zhang, Lu Su, Tarek Abdelzaher

Research output: Contribution to specialist publicationArticle

Abstract

How can the advantages of deep learning be brought to the emerging world of embedded IoT devices? The authors discuss several core challenges in embedded and mobile deep learning, as well as recent solutions demonstrating the feasibility of building IoT applications that are powered by effective, efficient, and reliable deep learning models.

Original languageEnglish (US)
Pages32-41
Number of pages10
Volume51
No5
Specialist publicationComputer
DOIs
StatePublished - May 2018

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Keywords

  • Internet of Things
  • IoT
  • deep learning
  • embedded learning
  • machine learning
  • mobile and embedded deep learning
  • neural networks

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Yao, S., Zhao, Y., Zhang, A., Hu, S., Shao, H., Zhang, C., Su, L., & Abdelzaher, T. (2018). Deep Learning for the Internet of Things. Computer, 51(5), 32-41. https://doi.org/10.1109/MC.2018.2381131