Big Data Analysis in IIoT Systems Using the Federated Machine Learning Method

Author:

Klymash Mykhailo1,Hordiichuk-Bublivska Olena1,Kyryk Marian1,Fabri Liudvih2,Kopets Halyna3

Affiliation:

1. Lviv Polytechnic National University,Department of Telecommunications,Lviv,Ukraine

2. Lviv Polytechnic National University,Department of Automated Control Systems,Lviv,Ukraine

3. Lviv Polytechnic National University,Department of Management of Organizations,Lviv,Ukraine

Publisher

IEEE

Cited by 5 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. 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

2. INVESTIGATION OF DISTRIBUTED MATRIX FACTORISATION EFFICIENCY IN THE INDUSTRIAL SYSTEMS;Information and communication technologies, electronic engineering;2023-09

3. Model of Large Sparse Datasets Processing Efficiency in IIOT;2023 17th International Conference on the Experience of Designing and Application of CAD Systems (CADSM);2023-02-22

4. A masking-based federated singular value decomposition method for anomaly detection in industrial internet of things;International Journal of Web and Grid Services;2023

5. A Modified Federated Singular Value Decomposition Method for Big Data and ML Optimization in IIoT Systems;Emerging Networking in the Digital Transformation Age;2023

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