Roadmap for edge AI: A Dagstuhl Perspective

Aaron Yi Ding; Ella Peltonen; Tobias Meuser; Atakan Aral; Christian Becker; Schahram Dustdar; Thomas Hiessl; Dieter Kranzlmüller; Madhusanka Liyanage; Setareh Maghsudi; Nitinder Mohan; Jörg Ott; Jan S. Rellermeyer; Stefan Schulte; Henning Schulzrinne; Gürkan Solmaz; Sasu Tarkoma; Blesson Varghese; Lars Wolf

doi:10.1145/3523230.3523235

Roadmap for edge AI: A Dagstuhl Perspective

Aaron Yi Ding^*, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Maghsudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars Wolf

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific

24 Citations (Scopus)

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Abstract

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation, optimisation, and deployment of distributed AI/ML pipelines with given quality of experience, trust, security and privacy targets. The Edge AI community investigates novel ML methods for the edge computing environment, spanning multiple sub-fields of computer science, engineering and ICT. The goal is to share an envisioned roadmap that can bring together key actors and enablers to further advance the domain of Edge AI.

Original language	English
Pages (from-to)	28-33
Number of pages	6
Journal	Computer Communication Review
Volume	52
Issue number	1
DOIs	https://doi.org/10.1145/3523230.3523235
Publication status	Published - 2022

Keywords

5G Beyond
Edge AI
Edge Computing
Future Cloud
Roadmap

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ccr-edge-aiAccepted author manuscript, 604 KB

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Ding, A. Y., Peltonen, E., Meuser, T., Aral, A., Becker, C., Dustdar, S., Hiessl, T., Kranzlmüller, D., Liyanage, M., Maghsudi, S., Mohan, N., Ott, J., Rellermeyer, J. S., Schulte, S., Schulzrinne, H., Solmaz, G., Tarkoma, S., Varghese, B., & Wolf, L. (2022). Roadmap for edge AI: A Dagstuhl Perspective. Computer Communication Review, 52(1), 28-33. https://doi.org/10.1145/3523230.3523235

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title = "Roadmap for edge AI: A Dagstuhl Perspective",

abstract = "Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation, optimisation, and deployment of distributed AI/ML pipelines with given quality of experience, trust, security and privacy targets. The Edge AI community investigates novel ML methods for the edge computing environment, spanning multiple sub-fields of computer science, engineering and ICT. The goal is to share an envisioned roadmap that can bring together key actors and enablers to further advance the domain of Edge AI. ",

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author = "Ding, {Aaron Yi} and Ella Peltonen and Tobias Meuser and Atakan Aral and Christian Becker and Schahram Dustdar and Thomas Hiessl and Dieter Kranzlm{\"u}ller and Madhusanka Liyanage and Setareh Maghsudi and Nitinder Mohan and J{\"o}rg Ott and Rellermeyer, {Jan S.} and Stefan Schulte and Henning Schulzrinne and G{\"u}rkan Solmaz and Sasu Tarkoma and Blesson Varghese and Lars Wolf",

year = "2022",

doi = "10.1145/3523230.3523235",

language = "English",

volume = "52",

pages = "28--33",

journal = "Computer Communication Review",

issn = "0146-4833",

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Ding, AY, Peltonen, E, Meuser, T, Aral, A, Becker, C, Dustdar, S, Hiessl, T, Kranzlmüller, D, Liyanage, M, Maghsudi, S, Mohan, N, Ott, J, Rellermeyer, JS, Schulte, S, Schulzrinne, H, Solmaz, G, Tarkoma, S, Varghese, B & Wolf, L 2022, 'Roadmap for edge AI: A Dagstuhl Perspective', Computer Communication Review, vol. 52, no. 1, pp. 28-33. https://doi.org/10.1145/3523230.3523235

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T2 - A Dagstuhl Perspective

AU - Ding, Aaron Yi

AU - Peltonen, Ella

AU - Meuser, Tobias

AU - Aral, Atakan

AU - Becker, Christian

AU - Dustdar, Schahram

AU - Hiessl, Thomas

AU - Kranzlmüller, Dieter

AU - Liyanage, Madhusanka

AU - Maghsudi, Setareh

AU - Mohan, Nitinder

AU - Ott, Jörg

AU - Rellermeyer, Jan S.

AU - Schulte, Stefan

AU - Schulzrinne, Henning

AU - Solmaz, Gürkan

AU - Tarkoma, Sasu

AU - Varghese, Blesson

AU - Wolf, Lars

PY - 2022

Y1 - 2022

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KW - 5G Beyond

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KW - Edge Computing

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JO - Computer Communication Review

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Roadmap for edge AI: A Dagstuhl Perspective

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