Enhanced IoT security: privacy-preserving federated learning model for accurate, real-time intrusion detection across devices
Federated learning (FL) has been proposed as an effective solution in the context of intrusion detection in IoT networks, where models can be trained collaboratively with the security of raw data protection. In this paper we present a privacy-preserving FL framework based on light weight neural netw...
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| Principais autores: | , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Elsevier
2026-01-01
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| 叢編: | Ain Shams Engineering Journal |
| 主題: | |
| 在線閱讀: | http://www.sciencedirect.com/science/article/pii/S2090447925006070 |
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