AI-empowered game architecture and application for resource provision and scheduling in multi-clouds
Abstract Current deep learning technologies used a large number of parameters to achieve a high accuracy rate, and the number of parameters is commonly more than a hundred million for image-related tasks. To improve both training speed and accuracy in multi-clouds, distributed deep learning is also...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
SpringerOpen
2023-08-01
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| Serie: | Journal of Cloud Computing: Advances, Systems and Applications |
| Ämnen: | |
| Länkar: | https://doi.org/10.1186/s13677-023-00505-8 |
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