DAIS Project - Distributed Artificial Intelligence Systems

Author:

Balador Ali1,Sinaei Sima1,Pettersson Mats2,Kaya Ilhan3

Affiliation:

1. RISE Research Institute of Sweden, Vasteras, Sweden

2. Mobilvägen 10, 223 62 Lund, Sweden

3. Organize Sanayi Bolgesi, 45030 Manisa, Turkey

Abstract

DAIS is a step forward in the area of artificial intelligence and edge computing. DAIS intends to create a complete framework for self-organizing, energy efficient and private-by-design distributed AI. DAIS is a European project with a consortium of 47 partners from 11 countries coordinated by RISE Research Institute of Sweden.

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

Reference9 articles.

1. W. Shi , J. Cao , Q. Zhang , Y. Li , and L. Xu , ' Edge computing: Vision and challenges," IEEE Internet of Things Journal , vol. 3 , no. 5, pp. 637--646, 2016. W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, 'Edge computing: Vision and challenges," IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637--646, 2016.

2. Roadmap for edge AI: A dagstuhl perspective;Ding A. Y.;CoRR,2021

3. 'Cisco Annual Internet Report (2018--2023) White Paper." https:// www.cisco.com/c/en/us/solutions/ collateral/executive-perspectives/ annual-internet-report/ white-paper-c11--741490.html 2020. [Online; accessed 19-February-2022]. 'Cisco Annual Internet Report (2018--2023) White Paper." https:// www.cisco.com/c/en/us/solutions/ collateral/executive-perspectives/ annual-internet-report/ white-paper-c11--741490.html 2020. [Online; accessed 19-February-2022].

4. Federated Learning: Challenges, Methods, and Future Directions

5. Advances and open problems in federated learning;Kairouz P.;Foundations and Trends® in Machine Learning,2021

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