The Investigation of Deep Learning Applications in Edge Networks

Xiaokang Yin

2023

Abstract

In the contemporary landscape defined by the ubiquity of data-driven applications and the unceasing demand for real-time processing, the imperative to fuse deep learning with edge computing networks has risen to the forefront. This paper, therefore, undertakes the crucial task of addressing the necessity for such integration while illuminating the formidable obstacles that impede the seamless delivery of services in this context. The research diligently navigates through a myriad of well-established edge computing architectures, evaluating their aptitude for supporting deep learning models. By capitalizing on the latest strides in research, it introduces inventive solutions aimed at harnessing the formidable potential of deep learning at the edge, all while mitigating the challenges posed by resource constraints. The outcomes of this research illustrate substantial enhancements in performance, shining a spotlight on the transformative possibilities that emerge from this synergy. Despite the presence of certain limitations, this work stands as a noteworthy contribution to the ongoing evolution of edge computing, offering the promise of heightened capabilities for both edge devices and applications alike.

Paper Citation

in Harvard Style

Yin X. (2023). The Investigation of Deep Learning Applications in Edge Networks. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 326-331. DOI: 10.5220/0012805500003885

in Bibtex Style

@conference{daml23,
author={Xiaokang Yin},
title={The Investigation of Deep Learning Applications in Edge Networks},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={326-331},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012805500003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - The Investigation of Deep Learning Applications in Edge Networks
SN - 978-989-758-705-4
AU - Yin X.
PY - 2023
SP - 326
EP - 331
DO - 10.5220/0012805500003885
PB - SciTePress