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FedAECS

Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing

Install / Use

/learn @jjzgeeks/FedAECS
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

About FedAECS

Welcome to FedAECS, created for experimental research in a paper accepted by IEEE IWCMC 2021:

J. Zheng, K. Li, E. Tovar and M. Guizani, "Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing," 2021 International Wireless Communications and Mobile Computing (IWCMC), 2021, pp. 1942-1947, doi: 10.1109/IWCMC51323.2021.9498853. The more details can be found here

Citation

@inproceedings{zheng2021federated,  
  title={Federated learning for energy-balanced client selection in mobile edge computing},  
  author={Zheng, Jingjing and Li, Kai and Tovar, Eduardo and Guizani, Mohsen},  
  booktitle={2021 International Wireless Communications and Mobile Computing (IWCMC)},  
  pages={1942--1947},  
  year={2021},  
  organization={IEEE}  
}

Related Skills

View on GitHub
GitHub Stars35
CategoryEducation
Updated10mo ago
Forks3

Languages

MATLAB

Security Score

67/100

Audited on May 13, 2025

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