Design and implementation of privacy-preserving federated learning algorithm for consumer IoT-Reference-Cited by-同舟云学术

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Design and implementation of privacy-preserving federated learning algorithm for consumer IoT

Published:2024-11 Issue: Volume:106 Page:206-216
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Zhao Bin^ORCID,Ji YuanYuan,Shi Yanzhao,Jiang Xue

Publisher

Elsevier BV

Reference47 articles.

1. An overview of IoT based smart homes;Paul,2018

2. A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks;Ali;Alexandria Eng. J.,2024

3. A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks;Alsharif;Alexandria Eng. J.,2024

4. Unleashing the power of bat optimized CNN-BiLSTM model for advanced network anomaly detection: Enhancing security and performance in IoT environments;Antonius;Alexandria Eng. J.,2023

5. Exploiting unintended feature leakage in collaborative learning;Melis,2019

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