Federated in-network machine learning for privacy-preserving IoT traffic analysis
The expanding use of 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 disruption or security i...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Association for Computing Machinery
2024
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