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

Ying Dar Lin; Yuan Cheng Lai; Didik Sudyana; Ren Hung Hwang

doi:10.1109/MC.2023.3303370

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

Ying Dar Lin
, Yuan Cheng Lai
, Didik Sudyana
, Ren Hung Hwang

Computer and Network Center

Research output: Contribution to specialist publication › Article

5 Citations (Scopus)

Abstract

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 cloud-fog paradigms. A total of 31 possible mappings are identified as possible reference designs for AIoTaS providers.

Original language	English
Pages	65-79
Number of pages	15
Volume	56
No.	12
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2023.3303370
Publication status	Published - 2023 Dec 1

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/MC.2023.3303370

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

abstract = "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 cloud-fog paradigms. A total of 31 possible mappings are identified as possible reference designs for AIoTaS providers.",

author = "Lin, \{Ying Dar\} and Lai, \{Yuan Cheng\} and Didik Sudyana and Hwang, \{Ren Hung\}",

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doi = "10.1109/MC.2023.3303370",

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AU - Hwang, Ren Hung

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

Abstract

All Science Journal Classification (ASJC) codes

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