Central versus Distributed Statistical Computing Algorithms-A Comparison

Nisha Thorakkattu Madathil; Saad Harous

doi:10.1109/UEMCON51285.2020.9298174

Central versus Distributed Statistical Computing Algorithms-A Comparison

Nisha Thorakkattu Madathil, Saad Harous

Department of Computer Science and Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Distributed statistical learning algorithms are performing many machine learning tasks in a distributed environment. Some scenarios where data sharing is desired among many parties and it may need to increase the efficiency and statistical accuracy of the underlying algorithms. Due to the increase in the size and complexity of today's big data, it is very important to solve problems with a very large number of features, records, and training samples. As a result, it is necessary to deal with the distributed transfer of these datasets as well as their underlying distributed solution methods efficiently and effectively. This paper compares the efficiency and accuracy of a distributed statistical method with a central method with simple regression and classification algorithms.

Original language	English
Title of host publication	2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020
Editors	Rajashree Paul
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	87-92
Number of pages	6
ISBN (Electronic)	9781728196565
DOIs	https://doi.org/10.1109/UEMCON51285.2020.9298174
Publication status	Published - Oct 28 2020
Event	11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020 - Virtual, New York City, United States Duration: Oct 28 2020 → Oct 31 2020

Publication series

Name	2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020

Conference

Conference	11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020
Country/Territory	United States
City	Virtual, New York City
Period	10/28/20 → 10/31/20

Keywords

Split and merge
distributed statistical learning
linear regression
logistic regression

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Electrical and Electronic Engineering
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/UEMCON51285.2020.9298174

Cite this

Thorakkattu Madathil, N., & Harous, S. (2020). Central versus Distributed Statistical Computing Algorithms-A Comparison. In R. Paul (Ed.), 2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020 (pp. 87-92). [9298174] (2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UEMCON51285.2020.9298174

Central versus Distributed Statistical Computing Algorithms-A Comparison. / Thorakkattu Madathil, Nisha; Harous, Saad.
2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020. ed. / Rajashree Paul. Institute of Electrical and Electronics Engineers Inc., 2020. p. 87-92 9298174 (2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Thorakkattu Madathil, N & Harous, S 2020, Central versus Distributed Statistical Computing Algorithms-A Comparison. in R Paul (ed.), 2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020., 9298174, 2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020, Institute of Electrical and Electronics Engineers Inc., pp. 87-92, 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020, Virtual, New York City, United States, 10/28/20. https://doi.org/10.1109/UEMCON51285.2020.9298174

Thorakkattu Madathil N, Harous S. Central versus Distributed Statistical Computing Algorithms-A Comparison. In Paul R, editor, 2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 87-92. 9298174. (2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020). doi: 10.1109/UEMCON51285.2020.9298174

Thorakkattu Madathil, Nisha ; Harous, Saad. / Central versus Distributed Statistical Computing Algorithms-A Comparison. 2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020. editor / Rajashree Paul. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 87-92 (2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020).

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Central versus Distributed Statistical Computing Algorithms-A Comparison

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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