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CORRECTION article

Front. Med., 24 October 2024
Sec. Precision Medicine
Volume 11 - 2024 | https://doi.org/10.3389/fmed.2024.1504309

Corrigendum: Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images

This article is a correction to:

  1. Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images

    1. Read original article
\nRawia AhmedRawia Ahmed1Praveen Kumar Reddy Maddikunta Praveen Kumar Reddy Maddikunta2*Thippa Reddy Gadekallu,,Thippa Reddy Gadekallu3,4,5Naif Khalaf AlshammariNaif Khalaf Alshammari6Fatma Ali HendaouiFatma Ali Hendaoui7
  • 1Computer Science Department, Applied College, University of Ha'il, Ha'il, Saudi Arabia
  • 2School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • 3The College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China
  • 4Division of Research and Development, Lovely Professional University, Phagwara, India
  • 5Center of Research Impact and Outcome, Chitkara University, Rajpura, India
  • 6Mechanical Engineering Department, Engineering College, University of Ha'il, Ha'il, Saudi Arabia
  • 7Computer Science Department, Applied College, University of Ha'il, Ha'il, Saudi Arabia

A Corrigendum on
Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images

by Ahmed, R., Maddikunta, P. K. R., Gadekallu, T. R., Alshammari, N. K., and Hendaoui, F. A. (2024). Front. Med. 11:1409314. doi: 10.3389/fmed.2024.1409314

In the published article, there was an error in Article Type “[SYSTEMATIC REVIEW article]”, it should be “[ORIGINAL RESEARCH article]”.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: COVID-19 detection, decentralized training, adaptive differential privacy, federated learning, convolutional neural network, healthcare data privacy

Citation: Ahmed R, Maddikunta PKR, Gadekallu TR, Alshammari NK and Hendaoui FA (2024) Corrigendum: Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images. Front. Med. 11:1504309. doi: 10.3389/fmed.2024.1504309

Received: 30 September 2024; Accepted: 03 October 2024;
Published: 24 October 2024.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2024 Ahmed, Maddikunta, Gadekallu, Alshammari and Hendaoui. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Praveen Kumar Reddy Maddikunta, praveenkumarreddy@vit.ac.in

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.