Decentralized Distributed Deep Learning with Low-Bandwidth Consumption for Smart Constellations
For the space-based remote sensing system, onboard intelligent processing based on deep learning has become an inevitable trend. To adapt to the dynamic changes of the observation scenes, there is an urgent need to perform distributed deep learning onboard to fully utilize the plentiful real-time se...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Association for the Advancement of Science (AAAS)
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/afbd71e8a2d041fe99ee2012179f9d16 |
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