2023
DOI: 10.1109/jiot.2022.3222842
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Transform-Domain Federated Learning for Edge-Enabled IoT Intelligence

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Cited by 2 publications
(1 citation statement)
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“…Using the density function, values with the highest density are selected for aggregation. It is noteworthy that only recently a study by Zhao, Cai, and Lu (2022) considered a transform-domain based approach to enhance efficiency and precision, though security aspects are not addressed. In our case, we use the fast Fourier Transform to convert the weights sent by the clients into the frequency domain.…”
Section: Related Workmentioning
confidence: 99%
“…Using the density function, values with the highest density are selected for aggregation. It is noteworthy that only recently a study by Zhao, Cai, and Lu (2022) considered a transform-domain based approach to enhance efficiency and precision, though security aspects are not addressed. In our case, we use the fast Fourier Transform to convert the weights sent by the clients into the frequency domain.…”
Section: Related Workmentioning
confidence: 99%