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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2025-01-01
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| シリーズ: | IEEE Open Journal of the Communications Society |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10786352/ |
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