Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates.

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Title: Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates.
Authors: Buron, Leo1 leo.buron@uni-due.de, Erbslöh, Andreas1 andreas.erbsloeh@uni-due.de, Schiele, Gregor1 gregor.schiele@uni-due.de
Source: Journal of Universal Computer Science (JUCS). 2025, Vol. 31 Issue 9, p963-979. 17p.
Database: Mathematics Source
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PubType: Academic Journal
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  Data: Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Universal+Computer+Science+%28JUCS%29%22">Journal of Universal Computer Science (JUCS)</searchLink>. 2025, Vol. 31 Issue 9, p963-979. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=188822225
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3897/jucs.164737
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 963
    Titles:
      – TitleFull: Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates.
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            NameFull: Buron, Leo
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            NameFull: Erbslöh, Andreas
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            NameFull: Schiele, Gregor
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            – D: 01
              M: 09
              Text: 2025
              Type: published
              Y: 2025
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              Value: 31
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              Value: 9
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            – TitleFull: Journal of Universal Computer Science (JUCS)
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