Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning

Sweta Bhattacharya, Pratik Vyas, Supriya Yarradoddi, Bhulakshmi Dasari, S. Sumathy, Rajesh Kaluri, Srinivas Koppu, David J. Brown, Mufti Mahmud, Thippa Reddy Gadekallu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The 5.0 era's arrival and the ongoing advancement of technology have had a significant impact on many facets of our society, including education. There is increased interest in employing federated learning (FL) strategies to enhance educational processes as a result of the expansion of educational data and the accessibility of digital platforms. FL proves to be a promising approach to leverage distributed data sources while preserving privacy and data security. This paper attempts to offer a thorough review of the most recent FL research projects and applications in the education sector during the 5.0 era. We examine the fundamental concepts of FL and explore its potential applications in the context of education namely in terms of providing personalised education, transforming the education landscape, achieving student outcomes, ensuring student engagement, preserving security and privacy implications for education, and related adaptive assessments. Additionally, we also discuss the challenges and considerations associated with implementing FL in educational settings. The paper will thus serve as a valuable resource for researchers, educators, policymakers, and industry professionals who are interested in leveraging FL to unlock the complete potential of educational data while ensuring privacy and security in the dynamic 5.0 era.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages602-608
Number of pages7
ISBN (Electronic)9798350304602
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023 - Abu Dhabi, United Arab Emirates
Duration: 14 Nov 202317 Nov 2023

Publication series

Name2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

Conference

Conference2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/11/2317/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Federated Learning
  • Industry 5.0
  • Smart Education

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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