Federated Learning for 6G Networks: Navigating Privacy Benefits and Challenges
The upcoming Sixth Generation (6G) networks aim for fully automated, intelligent network functionalities and services. Therefore, Machine Learning (ML) is essential for these networks. Given stringent privacy regulations, future network architectures should use privacy-preserved ML for their applica...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| coleção: | IEEE Open Journal of the Communications Society |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10786352/ |
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