DLDP-FL: Dynamic local differential privacy federated learning method based on mesh network edge devices-Reference-Cited by-同舟云学术

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DLDP-FL: Dynamic local differential privacy federated learning method based on mesh network edge devices

Published:2022-09 Issue: Volume:63 Page:101789
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Yin Kangning,Wu Bin,Zhu Rui,Xiao Lin,Tan Zhuofu,He Guofeng,Wang Zhiguo,Yin Guangqiang

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference49 articles.

1. Applications of artificial intelligence and machine learning in smart cities;Ullah;Comput. Commun.,2020

2. Automated machine learning: review of the state-of-the-art and opportunities for healthcare;Waring;Artif. Intell. Med.,2020

3. Data mining and analytics in the process industry: the role of machine learning;Ge;IEEE Access,2017

4. Privacy preservation for machine learning training and classification based on homomorphic encryption schemes;Li;Inf. Sci.,2020

5. Privacy-preserving machine learning as a service;Hesamifard;Proc. Priv. Enhancing Technol.,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions;Journal of Network and Computer Applications;2024-08

2. Robust Federated Learning for Edge Intelligence;Springer Optimization and Its Applications;2024-05-10

3. Fed-PEMC: A Privacy-Enhanced Federated Deep Learning Algorithm for Consumer Electronics in Mobile Edge Computing;IEEE Transactions on Consumer Electronics;2024-02

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