IEEE Access 
Volume 10, 2022

Impact Factor: 3.476

The Many Faces of Edge Intelligence

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.


IEEE Open Access

BibTeX:
@article{Peltonen:Access2022,
title = "The Many Faces of Edge Intelligence",
journal = "IEEE Access",
year = "2022",
volume = {10},
pages={104769-104782},
author = "Peltonen, Ella and Ahmad, Ijaz and Aral, Atakan and Capobianco, Michele and Ding, Aaron Yi and Gil-Castiñeira, Felipe and Gilman, Ekaterina and Harjula, Erkki and Jurmu, Marko and Karvonen, Teemu and Kelanti, Markus and Leppänen, Teemu and Lovén, Lauri and Mikkonen, Tommi and Mohan, Nitinder and Nurmi, Petteri and Pirttikangas, Susanna and Sroka, Paweł and Tarkoma, Sasu and Yang, Tingting",
doi={10.1109/ACCESS.2022.3210584}
}
How to cite:

Ella Peltonen, Ahmad Ijaz, Atakan Aral, Michele Capobianco, Aaron Yi Ding, et al. "The Many Faces of Edge Intelligence", IEEE Access, Vol. 10, pp. 104769-104782, 2022. DOI: 10.1109/ACCESS.2022.3210584