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All Journal International Journal of Computer Technology and Science
Grace Olivia Hall
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Computer Science & IT

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Enhancing Edge Computing Performance for IoT Applications Using Federated Learning Techniques Lucas Henry Young; Grace Olivia Hall
International Journal of Computer Technology and Science Vol. 1 No. 1 (2024): January : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i1.57

Abstract

As Internet of Things (IoT) devices proliferate, edge computing has become essential for reducing latency and improving data privacy. This paper explores federated learning as a method to enhance the efficiency and security of edge computing systems. We implement and evaluate federated models in various IoT environments, demonstrating how federated learning can reduce data transfer and computation load while maintaining accuracy in data analysis.
Co-Authors Lucas Henry Young