Reappearance and Optimization of the FedDyn Algorithm

Zhao Zhang

2024

Abstract

Federated learning has been widely used as a way to protect data privacy. However, the existing federated learning algorithms have the problems of large differences in data distribution and low efficiency of model updating. Therefore, the FedDyn algorithm was born to solve the above problems. This paper uses Python programming software and FedDyn algorithm to build a simple federated learning framework composed of five major parts: a fully connected neural network model, client model training function, global model aggregation function, global model test function, and main function and carries out model training and performance improvement optimization of the framework, as well as code efficiency and performance. Three aspects of system stability and reliability were optimized, and two different data sets, Modified National Institute of Standards and Technology (MNIST) and Fashion-MNIST (F-MNIST), were used to test whether the algorithm optimization strategy proposed in this paper improved the algorithm performance. Finally, it is concluded that the algorithm can be optimized effectively by adjusting multiple parameters of the experimental model simultaneously.

Paper Citation

in Harvard Style

Zhang Z. (2024). Reappearance and Optimization of the FedDyn Algorithm. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 569-576. DOI: 10.5220/0012839100004547

in Bibtex Style

@conference{icdse24,
author={Zhao Zhang},
title={Reappearance and Optimization of the FedDyn Algorithm},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={569-576},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012839100004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Reappearance and Optimization of the FedDyn Algorithm
SN - 978-989-758-690-3
AU - Zhang Z.
PY - 2024
SP - 569
EP - 576
DO - 10.5220/0012839100004547
PB - SciTePress