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A Parameter Communication Optimization Strategy for Distributed Machine Learning in Sensors
In order to utilize the distributed characteristic of sensors, distributed machine learning has become the mainstream approach, but the different computing capability of sensors and network delays greatly influence the accuracy and the convergence rate of the machine learning model. Our paper descri...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5677357/ https://ncbi.nlm.nih.gov/pubmed/28934163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17102172 |
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