The Many Faces of Edge Intelligence

Ella Peltonen; 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

doi:10.1109/ACCESS.2022.3210584

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 journal › Article › Scientific › peer-review

16 Citations (Scopus)

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 language	English
Pages (from-to)	104769-104782
Number of pages	14
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3210584
Publication status	Published - 28 Sept 2022
MoE publication type	A1 Journal article-refereed

Funding

This paper has been written by an international expert group, led by the 6G Flagship at the University of Oulu, Finland (AoF grants 318927, 326291, 323630; Infotech Oulu grants B-TEA, TrustedMaaS). This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No. 101021808 and Marie Skłodowska-Curie grant agreement No. 956090, National Science Centre in Poland (grant 2018/29/B/ST7/01241), Austrian Science Fund (FWF grants Y 904-N31, I 5201-N), CHIST- ERA (grant CHIST-ERA-19-CES-005) and the City of Vienna (5G Use Case Challenge InTraSafEd 5G).

Keywords

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

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10.1109/ACCESS.2022.3210584Licence: CC BY

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Peltonen, E., Ahmad, I., Aral, A., Capobianco, M., Ding, A. Y., Gil-Castineira, F., Gilman, E., Harjula, E., Jurmu, M., Karvonen, T., Kelanti, M., Leppanen, T., Loven, L., Mikkonen, T., Mohan, N., Nurmi, P., Pirttikangas, S., Sroka, P., Tarkoma, S., & Yang, T. (2022). The Many Faces of Edge Intelligence. IEEE Access, 10, 104769-104782. https://doi.org/10.1109/ACCESS.2022.3210584

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The Many Faces of Edge Intelligence

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