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Gradient Scale Monitoring for Federated Learning Systems Cover

Gradient Scale Monitoring for Federated Learning Systems

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 18 (2024): Issue 3 (September 2024)
By: Karolina Bogacka,  Anastasiya Danilenka and  Katarzyna Wasielewska‑Michniewska  
Open Access
|Sep 2024

Authors

Karolina Bogacka

karolina.bogacka.dokt@pw.edu.pl

Warsaw University of Technology, Warszawa, Poland

Anastasiya Danilenka

anastasiya.danilenka.dokt@pw.edu.pl

Warsaw University of Technology, Warszawa, Poland

Katarzyna Wasielewska‑Michniewska

katarzyna.wasielewska@ibspan.waw.pl

Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland
DOI: https://doi.org/10.14313/jamris/3-2024/18 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 14 - 27
Submitted on: Dec 27, 2023
Accepted on: Mar 11, 2024
Published on: Sep 12, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
federated learning,
exploding gradient problem,
vanishing gradient problem,
monitoring
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 Karolina Bogacka, Anastasiya Danilenka, Katarzyna Wasielewska‑Michniewska, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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