Predictive Distributed Learning based on Stability and Complexity Measures-Reference-Cited by-同舟云学术

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Predictive Distributed Learning based on Stability and Complexity Measures

Published:2024-04-02 Issue: Volume:000 Page:1-17
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Igodan Efosa Charles¹,Obe Olumide O.²,Thompson A-F³,Owolafe Otasowie³,Usiosefe Linda Osarumen¹,Katyo Peter⁴

Affiliation:

1. University of Benin,Faculty of Physical Sciences,Dept. of Computer Science,Benin City,Nigeria

2. University of Technology, Akure,School of Computing Federal,Dept. of Computer Science,Akure,Nigeria

3. University of Technology, Akure,School of Computing,Dept. of Cyber Security,Akure,Nigeria

4. Nigerian Custom Service,Risk and Management Unit,ICT - Modernization Department,Abuja,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10629869.pdf?arnumber=10629869

Reference81 articles.

1. A distributed wrapper approach for feature selection;Bolon-Canedo

2. Centralized vs. distributed feature selection methods based on data complexity measures;Moran-Fernandez;Knowledge-based systems,2016

3. Scaling Up Machine Learning: Introduction

4. A survey of methods for distributed machine learning

5. Distributed machine learning with communication constraint;Zhang,2016

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