A Modified Federated Singular Value Decomposition Method for Big Data and ML Optimization in IIoT Systems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24963-1_14
Reference28 articles.
1. Klymash, M., Kyryk, M., Demydov, I., Hordiichuk-Bublivska, O., Kopets, H., Pleskanka, N.: Research on distributed machine learning methods in databases. In: 2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT), pp. 128–131 (2021). https://doi.org/10.1109/AICT52120.2021.9628949.
2. Klymash, M., Kyryk, M., Hordiichuk-Bublivska, O., Fabri, L., Kopets, H.: Big data analysis in IIoT systems using the federated machine learning method. In: IEEE 16 International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 22–26 February 2022 (2022)
3. Przystupa, K., et al.: Distributed singular value decomposition method for fast data processing in recommendation systems. Energies 14(8), 2284-1–2284-24 (2021)
4. Hassan Reza, M.N., Malarvizhi, C.A.N., Jayashree, S., Mohiuddin, M.: Industry 4.0–technological revolution and sustainable firm performance. In: 2021 Emerging Trends in Industry 4.0 (ETI 4.0), pp. 1–6 (2021). https://doi.org/10.1109/ETI4.051663.2021.9619363
5. Jun, S., et al.: A cost-efficient software based router and traffic generator for simulation and testing of IP network. Electronics 9(1), 40 (2020). https://doi.org/10.3390/electronics9010040
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. A Hybrid Collaborative Filtering Based Recommender Model Using Modified Funk SVD Algorithm;Lecture Notes in Electrical Engineering;2024
2. Research on the Automated Decision-Making Effectiveness in Industrial Automation System;2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT);2023-11-21
3. Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems;Artificial Intelligence and Soft Computing;2023
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