Abstract
This paper mainly focuses on dealing with the issue of scalable learning in dispersed knowledge system. A scalable learning scheme and ξ process are proposed with a theoretical analysis. With the proposed scheme, the dispersed knowledge system can be used as a centralized system without knowing the overview of the global database. A case study of application in dispersed face recognition system is given to show how the proposed scheme implements and works.
Original language | English |
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Title of host publication | Proccedings of the 10th European Conference on Software Architecture Workshops, ECSAW 2016 |
Publisher | ACM |
Pages | 125-134 |
Number of pages | 10 |
ISBN (Electronic) | 9781450347501, 9781450347815 |
DOIs | |
Publication status | Published - 28 Nov 2016 |
Event | 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 - Hiroshima, Japan Duration: 28 Nov 2016 → 1 Dec 2016 |
Publication series
Name | ACM International Conference Proceeding Series |
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Volume | 28-November-2016 |
Conference
Conference | 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 |
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Country/Territory | Japan |
City | Hiroshima |
Period | 28/11/16 → 1/12/16 |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- Dispersed knowledge system
- Intelligent ubiquitous computing
- Scalable learning
- ξ process