Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems Article Swipe

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Chuanhong Liu , Caili Guo , Yang Yang , Mingzhe Chen , H. Vincent Poor , Shuguang Cui ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2103.03444

Limited radio frequency (RF) resources restrict the number of users that can participate in federated learning (FL) thus affecting FL convergence speed and performance. In this paper, we first introduce visible light communication (VLC) as a supplement to RF in FL and build a hybrid VLC/RF communication system, in which each indoor user can use both VLC and RF to transmit its FL model parameters. Then, the problem of user selection and bandwidth allocation is studied for FL implemented over a hybrid VLC/RF system aiming to optimize the FL performance. The problem is first separated into two subproblems. The first subproblem is a user selection problem with a given bandwidth allocation, which is solved by a traversal algorithm. The second subproblem is a bandwidth allocation problem with a given user selection, which is solved by a numerical method. The final user selection and bandwidth allocation are obtained by iteratively solving these two subproblems. Simulation results show that the proposed FL algorithm that efficiently uses VLC and RF for FL model transmission can improve the prediction accuracy by up to 10% compared with a conventional FL system using only RF.

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Electrical Engineering

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Visible light communication Bandwidth (computing) Computer science Bandwidth allocation Radio frequency Selection (genetic algorithm) Tree traversal Mathematical optimization Algorithm Computer network Telecommunications Engineering Mathematics Artificial intelligence Electrical engineering Light-emitting diode

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2103.03444
PDF: https://arxiv.org/pdf/2103.03444
OA Status: green
Cited By: 2
References: 15
Related Works: 10
OpenAlex ID: https://openalex.org/W3134598400

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DOI: https://doi.org/10.48550/arxiv.2103.03444

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Title: Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-03-05

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Authors: Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui

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Landing page: https://arxiv.org/abs/2103.03444

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PDF URL: https://arxiv.org/pdf/2103.03444

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Concepts: Visible light communication, Bandwidth (computing), Computer science, Bandwidth allocation, Radio frequency, Selection (genetic algorithm), Tree traversal, Mathematical optimization, Algorithm, Computer network, Telecommunications, Engineering, Mathematics, Artificial intelligence, Electrical engineering, Light-emitting diode

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Cited by: 2

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Citations by year (recent): 2021: 2

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References (count): 15

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referenced_works	https://openalex.org/W3109847748, https://openalex.org/W3045027907, https://openalex.org/W3004277316, https://openalex.org/W2917136785, https://openalex.org/W3119842887, https://openalex.org/W2920095265, https://openalex.org/W2975156709, https://openalex.org/W3043758338, https://openalex.org/W2951617530, https://openalex.org/W3111182214, https://openalex.org/W2409417275, https://openalex.org/W3090615085, https://openalex.org/W3105122387, https://openalex.org/W2199097987, https://openalex.org/W3081482592
referenced_works_count	15
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