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Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
We provide a discussion of several recent results which, in certain scenarios, are able to overcome a barrier in distributed stochastic optimization for machine learning. Our focus is the so-called asymptotic network independence property, which is achieved whenever a distributed method executed ove...
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| Publicado en: | IEEE Signal Process Mag |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7977622/ https://ncbi.nlm.nih.gov/pubmed/33746471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/msp.2020.2975212 |
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