On the Performance of Federated Learning Algorithms for IoT
Federated Learning (FL) is a state-of-the-art technique used to build machine learning (ML) models based on distributed data sets. It enables In-Edge AI, preserves data locality, protects user data, and allows ownership. These characteristics of FL make it a suitable choice for IoT networks due to i...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2022-04-01
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| Collection: | IoT |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2624-831X/3/2/16 |
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