The Many Faces of Edge Intelligence

Ella Peltonen (Corresponding Author), Ijaz Ahmad, Atakan Aral, Michele Capobianco, Aaron Yi Ding, Felipe Gil-Castineira, Ekaterina Gilman, Erkki Harjula, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Teemu Leppanen, Lauri Loven, Tommi Mikkonen, Nitinder Mohan, Petteri Nurmi, Susanna Pirttikangas, Pawel Sroka, Sasu Tarkoma, Tingting Yang

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.
Original languageEnglish
Pages (from-to)104769-104782
Number of pages14
JournalIEEE Access
Volume10
DOIs
Publication statusPublished - 28 Sep 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • 5G
  • 6G
  • Edge Computing
  • Edge Intelligence
  • edge computing
  • Edge intelligence

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