articleIEEE Communications Surveys & TutorialsJan 1, 2020GREEN OA

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

XWXiaofei WangYHYiwen HanVCVictor C. M. LeungDNDusit NiyatoXYXueqiang Yan

Tianjin University · University of British Columbia · +4 more institutions

Indexed inarxivcrossref

Abstract

Ubiquitous sensors and smart devices from factories and communities are generating massive amounts of data, and ever-increasing computing power is driving the core of computation and services from the cloud to the edge of the network. As an important enabler broadly changing people's lives, from face recognition to ambitious smart factories and cities, developments of artificial intelligence (especially deep learning, DL) based applications and services are thriving. However, due to efficiency and latency issues, the current cloud computing service architecture hinders the vision of “providing artificial intelligence for every person and every organization at everywhere”. Thus, unleashing DL services using…

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1,425
total citations
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155.01
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100%
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336
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6

Topics & keywords

Topics
Keywords
  • Edge computing
  • Computer science
  • Cloud computing
  • Edge device
  • Enhanced Data Rates for GSM Evolution
  • Applications of artificial intelligence
  • Artificial intelligence
  • Data science
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