RETRACTED: SFL-MDrone: Synchronous federated learning enabled multi drones

Author:

Sharma Itika1,Gupta Sachin Kumar2

Affiliation:

1. School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, (Jammu & Kashmir), UT, India

2. Department of Electronics and Communication Engineering, Central University of Jammu, Samba, Jammu, (UT of J&K), India

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference24 articles.

1. Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management;Yang;IEEE Journal on Selected Areas in Communications,2021

2. FL-UAV: Asynchronous Vs Synchronous;Itika;Journal of Optoelectronics Laser, Tianjin Innstitute of Technnology,2022

3. Energy Efficient Federated Learning Over Wireless Communication Networks;Yang;IEEE Access,2020

4. Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems;Brik;IEEE Access,2020

5. Federated Learning for Drone Authentication;Yazdinejad;Adhoc Networks, Elsevier,2021

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