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

*Corresponding author for this work

Research output: Contribution to specialist publicationArticle

1 Scopus citations

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 languageEnglish
Pages65-79
Number of pages15
Volume56
No12
Specialist publicationComputer
DOIs
StatePublished - 1 Dec 2023

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