Secure and efficient parameters aggregation protocol for federated incremental learning and its applications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Secure and efficient parameters aggregation protocol for federated incremental learning and its applications

Published:2021-11-08 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Wang Xiaoying¹^ORCID,Liang Zhiwei²^ORCID,Koe Arthur Sandor Voundi²^ORCID,Wu Qingwu¹^ORCID,Zhang Xiaodong¹^ORCID,Li Haitao¹^ORCID,Yang Qintai¹^ORCID

Affiliation:

1. Third Affiliated Hospital of Sun Yat‐sen University Guangzhou China

2. Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22727

Reference39 articles.

1. Blockchain-Based Research Data Sharing Framework for Incentivizing the Data Owners

2. Securing Medical IoT Devices Using Diffie-Hellman and DES Cryptographic Schemes

3. Secure end-to-end communication for constrained devices in IoT-enabled Ambient Assisted Living systems

Cited by 10 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. Federated Incremental Learning Algorithm Based on Topological Data Analysis;2024

2. FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE;Electronics;2023-11-13

3. A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems;International Journal of Environmental Research and Public Health;2023-08-07

4. Energy trading scheme based on consortium blockchain and game theory;Computer Standards & Interfaces;2023-03

5. An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training;IEEE Transactions on Neural Networks and Learning Systems;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3