UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2110414


Registration ID:
316317

Page Number

d982-d990

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Title

Deep Learning Approach for Enhancing Fault Tolerance for Reliable Distributed System

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Abstract

Data in distributed system is dispersed in a structured, unstructured or semi-structured format. Data is distributed across various institutions organizations or individuals. These institutions are analogous to the working nodes. This dispersed data needs to be handled properly in two respects one for ensuring data security and privacy another is enhancing fault tolerance. Data security and privacy has become a prime concern for data centric applications. Robust fault tolerant platform is required for smooth functioning of the distributed system. The intuitive and robust model FedLearning is framed for distributed learning. FedLearning is based on ensemble learning, in which neural network models are deployed independently on each data unit at the local working node. All the local working model’s parameters are combined and collected by the secure coordinating nodes. Federated learning performs the coordination among the working nodes. Coordination prevents the failures of individual working machines.

Key Words

Distributed System, Fault Tolerance, Federated Learning, Working Node

Cite This Article

"Deep Learning Approach for Enhancing Fault Tolerance for Reliable Distributed System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.d982-d990, October-2021, Available :http://www.jetir.org/papers/JETIR2110414.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Deep Learning Approach for Enhancing Fault Tolerance for Reliable Distributed System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppd982-d990, October-2021, Available at : http://www.jetir.org/papers/JETIR2110414.pdf

Publication Details

Published Paper ID: JETIR2110414
Registration ID: 316317
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: d982-d990
Country: Satna, Madhya Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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