Dynamic Power Allocation in NOMA-Based Federated Learning System

Li, S., Wang, M., Cai, Y. and Sun, Y. (2024) Dynamic Power Allocation in NOMA-Based Federated Learning System. In: 15th International Conference on Wireless Communications and Signal Processing (WCSP 2023), Hangzhou, China, 02-04 Nov 2023, pp. 183-188. ISBN 9798350324662 (doi: 10.1109/WCSP58612.2023.10404970)

Abstract

With the rapid rise of digital technology, artificial intelligence driven by big data has entered the fast lane of development, but it has also given rise to many problems, such as data silos and user privacy. A solution to solve these problems is federated learning. However, this framework also faces many challenges, with high communication costs in the first place. Non-orthogonal multiple access (NOMA) can be applied to alleviate the problem. In this paper, we focus on this issue and investigate multiple access technology based on federated learning. We build a NOMA-based federated learning system to improve the communication efficiency of federated learning. Then we propose a NOMA dynamic power allocation algorithm based on the realtime channel state at the edge user to improve the performance of the system. Experimental results show that the proposed algorithm can improve the training accuracy of the system model and reduce the energy consumption for uploading parameters.

• Item Type: Conference Proceedings
• Additional Information: This work was supported by the Fundamental Research Funds for the Central Universities CUC210B032.
• Keywords: Federated learning, NOMA, power allocation.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sun, Dr Yao
• Authors: Li, S., Wang, M., Cai, Y., and Sun, Y.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9798350324662
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in 2023 International Conference on Wireless Communications and Signal Processing (WCSP)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy