Accelerating Neural Network Training with FSGQR: A Scalable and High-Performance Alternative to Adam
Jarosław Bilski
Department of Artificial Intelligence, Częstochowa University of TechnologyCzęstochowa, Poland
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, Bartosz Kowalczyk
Department of Artificial Intelligence, Częstochowa University of TechnologyCzęstochowa, Poland
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, Ludmila Dymova
Information Technology Institute, SAN UniversityŁódź, Poland
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oraz Min Xiao
College of Automation & College of Artificial Intelligence Nanjing University of Posts and Telecommunications NanjingChina
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05 lut 2025
O artykule
Data publikacji: 05 lut 2025
Zakres stron: 95 - 113
Otrzymano: 07 wrz 2024
Przyjęty: 04 gru 2024
DOI: https://doi.org/10.2478/jaiscr-2025-0006
Słowa kluczowe
© 2025 Jarosław Bilski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Bilski, Jarosław
Department of Artificial Intelligence, Częstochowa University of TechnologyCzęstochowa, Poland
Kowalczyk, Bartosz
Department of Artificial Intelligence, Częstochowa University of TechnologyCzęstochowa, Poland
Dymova, Ludmila
Information Technology Institute, SAN UniversityŁódź, Poland
Xiao, Min
College of Automation & College of Artificial Intelligence Nanjing University of Posts and Telecommunications NanjingChina