Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection.
Jiamin FanKui WuGuoming TangYang ZhouShengqiang HuangPublished in: IEEE Trans. Parallel Distributed Syst. (2024)
Keyphrases
- anomaly detection
- learning process
- learning algorithm
- connectionist systems
- detecting anomalies
- network intrusion detection
- anomalous behavior
- reinforcement learning
- intrusion detection
- unsupervised learning
- image segmentation
- computer security
- decision trees
- data sets
- support vector machine
- active learning
- intrusion detection system
- network security
- machine learning
- neural network