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Can I read Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning? on EtoBox?

Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning? by Ying-Dar Lin; Yuan-Cheng Lai; Didik Sudyana; Ren-Hung Hwang is a Computer Science article available to read on EtoBox.

What is Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning? about?

We propose a generic framework for mapping the training and federation tasks of three artificial intelligence for Internet of Things as a service (AIoTaS) systems to multiple cloudedge-fog paradigms. A total of 31 possible mappings are identified as possible reference designs for AIoTaS providers.

Who reads Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning??

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Ying-Dar Lin; Yuan-Cheng Lai; Didik Sudyana; Ren-Hung Hwang
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2023
Language
EN
Field
Computer Science (Physical Sciences)

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