Object
Title: A survey of distributed data classification withboosting
Abstract:
Distributed data classification is becoming more and more actual nowadays. The growing data and it’s decentralized nature forces to analyze data in distributed fashion. Many conventional algorithms tackle this problem well in case of centralized data, which differs from the case of distributed data. In distributed case may arise the problem of data privacy. We survey the distributed learning frameworks for classification and modifications of boosting algorithms.
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Identifier:
oai:noad.sci.am:135910
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Journal or Publication Title:
Information Theories and Applications
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Affiliation:
Institute for Informatics and Automation Problems
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Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Publications
Last modified:
Mar 3, 2021
In our library since:
Jul 27, 2020
Number of object content hits:
60
All available object's versions:
https://noad.sci.am/publication/149503
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| Edition name | Date |
|---|---|
| Karlen Mkrchyan, A SURVEY OF DISTRIBUTED DATA CLASSIFICATION WITHBOOSTING | Mar 3, 2021 |
