Mobility-aware federated self-supervised learning in vehicular network
Abstract The development of the Internet of Things has led to a significant increase in the number of devices, consequently generating a vast amount of data and resulting in an influx of unlabeled data. Collecting these data enables the training of robust models to support a broader range of applica...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Nature
2024-09-01
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| coleção: | Urban Lifeline |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44285-024-00020-5 |
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