NDLI: Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines

Content Provider	IEEE Xplore Digital Library
Author	Kokkinos, Y. Margaritis, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Appl. Inf., Univ. of Macedonia, Thessaloniki, Greece (Kokkinos, Y.; Margaritis, K.)
Abstract	This work describes a probabilistic neural network (PNN) committee machine for Peer-to-Peer data mining. The pattern neurons of the PNN committee are composed of locally trained class-specialized regularization network Peer classifiers. The training takes into account the asynchronous distributed and privacy-preserving requirements that can be met in P2P systems. The Peer classifiers are first trained in parallel based on their local data. While no local data exchange is possible among them, the peers can exchange their classifiers in the form of binaries, or agents. Then an asynchronous distributed computing P2P cycle is executed to construct a mutual validation matrix. The train set of one Peer becomes the validation set of the other and only average rates are returned back. From this matrix we demonstrate that it is possible to perform weight based ensemble selection of best peer members for every class and in this way to find class-specialized Peer modules for the committee machine.
Starting Page	1
Ending Page	4
File Size	260631
Page Count	4
File Format	PDF
e-ISBN	9781479907717
DOI	10.1109/IISA.2013.6623688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-10
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Committee machines Neurons Neural Networks Peer-to-Peer data mining Privacy-preserving Peer-to-peer computing Data mining Kernel Distributed computing Biological neural networks
Content Type	Text
Resource Type	Article

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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
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