Record link: 
http://hdl.handle.net/20.500.12708/195919
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Title: 
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions
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Citation: 
Hazra, A., Morichetta, A., Murturi, I., Lovén, L., Dehury, C. K., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions. Computer, 57(3), 69–78. https://doi.org/10.1109/MC.2023.3334913
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Publisher DOI: 
10.1109/MC.2023.3334913
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Publication Type: 
Article - Original Research Article
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Language: 
English
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Authors: 
Hazra, Abhishek 
Morichetta, Andrea 
Murturi, Ilir 
Lovén, Lauri 
Dehury, Chinmaya Kumar 
Casamayor Pujol, Victor 
Donta, Praveen Kumar 
Dustdar, Schahram 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Journal: 
Computer 
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ISSN: 
0018-9162
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Date (published): 
6-Mar-2024
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Number of Pages: 
10
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Publisher: 
IEEE COMPUTER SOC
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Peer reviewed: 
Yes
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Keywords: 
Distributed Artificial Intelligence; Edge Networks; Edge Resource Federation; Internet of Things; Zero-touch Provisioning
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Abstract: 
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with incorporating DAI into ZTP in the context of edge networks. Further, we draw potential research directions to foster novel studies in this field.
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Project (external): 
Academy of Finland through the 6G Flagship program
European Commission and select member countries through the ECSEL JU FRACTAL project
Business Finland through the Neural pub/sub research project
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Project ID: 
Grant 318927
Grant 877056
Diary Number 8754/31/2022
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 100%
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