A survey of federated learning for edge computing: Research problems and solutions
Federated Learning is a machine learning scheme in which a shared prediction model can be collaboratively learned by a number of distributed nodes using their locally stored data. It can provide better data privacy because training data are not transmitted to a central server. Federated learning is...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2021-06-01
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| Col·lecció: | High-Confidence Computing |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S266729522100009X |
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