Label flipping attacks in hierarchical federated learning for intrusion detection in IoT
Federated learning (FL) is a promising approach for distributed training of deep neural networks within Internet of Things (IoT) environments, where the data generated by IoT devices stays local, and only model updates are communicated to a central server. This methodology is particularly relevant f...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2024
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/9859/1/manuscript-r1%20%283%29.pdf |