Federated in-network machine learning for privacy-preserving IoT traffic analysis
The expanding use of Internet-of-Things (IoT) has driven machine learning (ML)-based traffic analysis. 5G networks’ standards, requiring low-latency communications for time-critical services, pose new challenges to traffic analysis. They necessitate fast analysis and response, preventing service dis...
| Hlavní autoři: | , , , , |
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| Médium: | Journal article |
| Jazyk: | English |
| Vydáno: |
Association for Computing Machinery
2024
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