University of Oulu

X. Liu, S. Tamminen, S. Tarkoma and X. Su, "Trustworthy Distributed Intelligence for Smart Cities," 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW), Kuala Lumpur, Malaysia, 2022, pp. 60-65, doi: 10.1109/ICDEW55742.2022.00013.

Trustworthy distributed intelligence for smart cities

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Author: Liu, Xiaoli1; Tamminen, Satu2; Tarkoma, Sasu1;
Organizations: 1University of Helsinki, Helsinki, Finland
2University of Oulu, Oulu, Finland
3Norwegian University of Science and Technology, Gjøvik, Norway
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2023042037812
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-04-20
Description:

Abstract

The future of smart cities has been significantly impacted by Internet of Things (IoT) and distributed intelligence, where a large scale of data are collected from massive amounts of heterogeneous devices and distributed intelligence brings storage, computing, and Artificial Intelligence (AI) functionality close to the end devices where data are generated for providing novel services and applications. However, AI empowered systems face many challenges due to the inscrutability of complex AI models which weakens the trust of users. This paper provides a general understanding of the underlying concepts and challenges in trustworthy distributed intelligence. A use case of district heating network is illustrated to explore the proposed concepts, technologies, and challenges for enabling trustworthy distributed intelligence for smart cities.

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Series: IEEE International Conference on Data Engineering workshop
ISSN: 1943-2895
ISSN-E: 2473-3490
ISSN-L: 1943-2895
ISBN: 978-1-6654-8104-5
ISBN Print: 978-1-6654-8105-2
Pages: 60 - 65
DOI: 10.1109/icdew55742.2022.00013
OADOI: https://oadoi.org/10.1109/icdew55742.2022.00013
Host publication: 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW)
Conference: IEEE International Conference on Data Engineering Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
Subjects:
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