A privacy-preserving federated learning protocol with a secure data aggregation for the Internet of Everything-Reference-Cited by-同舟云学术

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A privacy-preserving federated learning protocol with a secure data aggregation for the Internet of Everything

Published:2024-07 Issue: Volume:223 Page:1-14
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Basudan Sultan^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. The Internet of Everything: Smart things and their impact on business models;Langley;J. Bus. Res.,2021

2. Fair and dynamic data sharing framework in cloud-assisted internet of everything;Miao;IEEE Internet Things J.,2019

3. Internet of everything: Application and various challenges analysis a survey;Murtuza,2022

4. Edge computing for internet of everything: A survey;Kong;IEEE Internet Things J.,2022

5. RR-LADP: A privacy-enhanced federated learning scheme for internet of everything;Li;IEEE Consum. Electron. Mag.,2021

Cited by 1 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. Enhancing protection in high-dimensional data: Distributed differential privacy with feature selection;Information Processing & Management;2024-11

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