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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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