NDLI: A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining

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A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining

Content Provider	ACM Digital Library
Author	Margaritis, Konstantinos G. Kokkinos, Yiannis
Abstract	This work describes a fully asynchronous and privacy preserving ensemble selection approach for distributed data mining in peer-to-peer applications. The algorithm builds a global ensemble model over large amounts of data distributed over the peers in a network, without moving the data itself, and with little centralized coordination. Only classifiers are transmitted to other peers. Here the test set from one classifier is the train set of the other and vice versa. Regularization Networks are used as ensemble member classifiers. The approach constructs a mapping of all ensemble members to a mutual affinity matrix based on classification rates between them. After the mapping of all members the Affinity Propagation clustering algorithm is used for the selection phase. A classical asynchronous peer-to-peer cycle is continually executed for computing the mutual affinity matrix. The cycle composed of typical grid commands, like send local classifier to a peer k, check for received classifier m in the queue, compute local average positive hits, send results to peer m and send local classifier to a peer k+1. Thus the communication model used is simple point-to-point with send-receive commands to or from a single peer. The approach can also be implemented to other types of classifiers.
Starting Page	46
Ending Page	51
Page Count	6
File Format	PDF
ISBN	9781450312400
DOI	10.1145/2371316.2371326
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-09-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Ensemble selection Neural networks Distributed Peer-to-peer Privacy preserving Data mining
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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