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  4. Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

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Author(s)
Nascimento, Alexandre
•
Melo, Vinicius
•
Basgalupp, Marcio
Date Issued
March 27, 2023
Publisher
ACM|The 38th ACM/SIGAPP Symposium on Applied Computing
Citation
Nascimento, Alexandre, Melo, Vinicius and Basgalupp, Marcio. 2023. "Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/150998
DOI of Published Version
https://doi.org/10.1145/3555776.3577744
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