Directly training on quantized model via gradient scale correction for edge device.
- DOI
- 10.1016/j.neunet.2026.109266
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109266,
title = {Directly training on quantized model via gradient scale correction for edge device.},
author = {Zhang D and Yuan J and Zhou Y and Hu C and Yu X and Gou H},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109266},
url = {https://doi.org/10.1016/j.neunet.2026.109266}
}RIS
TY - JOUR TI - Directly training on quantized model via gradient scale correction for edge device. AU - Zhang D AU - Yuan J AU - Zhou Y AU - Hu C AU - Yu X AU - Gou H PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109266 UR - https://doi.org/10.1016/j.neunet.2026.109266 ER -
APA
D, Z., J, Y., Y, Z., C, H., X, Y., & H, G. (2026). Directly training on quantized model via gradient scale correction for edge device.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109266
Source records
- pubmed · retrieved 2026-09-26T10:39:46.241Z