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Fairness-Based Multi-AP Coordination Using Federated Learning in Wi-Fi 7
Federated learning is a type of distributed machine learning in which models learn by using large-scale decentralized data between servers and devices. In a short-range wireless communication environment, it can be difficult to apply federated learning because the number of devices in one access poi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783727/ https://www.ncbi.nlm.nih.gov/pubmed/36560143 http://dx.doi.org/10.3390/s22249776 |