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CORRECTION article

Front. Med.
Sec. Precision Medicine
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1504309

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

Provisionally accepted
Rawia Ahmed Rawia Ahmed 1Praveen K. Maddikunta Praveen K. Maddikunta 2*Thippa Reddy Gadekallu Thippa Reddy Gadekallu 3Naif Khalaf Alshammari Naif Khalaf Alshammari 4Fatma Ali Hendaoui Hendaoui Fatma Ali Hendaoui Hendaoui 1
  • 1 Computer Science Department, Applied College, University of Ha’il, Ha’il, Saudi Arabia, Hail, Saudi Arabia
  • 2 VIT University, Vellore, India
  • 3 The College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China, Hangzhou, China
  • 4 Mechanical Engineering Department, Engineering College, University of Ha’il, Ha’il, Saudi Arabia, Hail, Saudi Arabia

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

The final, formatted version of the article will be published soon.

    Corrigendum on: Incorrect Article Type 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.

    Keywords: COVID-19 detection, Decentralized training, adaptive diffrential privacy, Federated learning, Convolutional Neural Network, Healthcare Data Privacy

    Received: 30 Sep 2024; Accepted: 03 Oct 2024.

    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) or licensor 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 K. Maddikunta, VIT University, Vellore, India

    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.