Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics

IF 5 2区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

IEEE Transactions on Reliability Pub Date : 2024-08-29 DOI:10.1109/tr.2024.3431869

Xiaoyu Jiang, Yubin Cheng, Zhihuan Song, Xiaoguang Ma, Lingjian Ye, Zhiqiang Ge

引用次数: 0

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利用蜂群学习实现安全有效的工业联合大数据分析

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Reliability 工程技术-工程：电子与电气

CiteScore

12.20

自引率

8.50%

发文量

153

审稿时长

7.5 months

期刊介绍： IEEE Transactions on Reliability is a refereed journal for the reliability and allied disciplines including, but not limited to, maintainability, physics of failure, life testing, prognostics, design and manufacture for reliability, reliability for systems of systems, network availability, mission success, warranty, safety, and various measures of effectiveness. Topics eligible for publication range from hardware to software, from materials to systems, from consumer and industrial devices to manufacturing plants, from individual items to networks, from techniques for making things better to ways of predicting and measuring behavior in the field. As an engineering subject that supports new and existing technologies, we constantly expand into new areas of the assurance sciences.