Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection.
Han WangLuis Muñoz-GonzálezDavid EklundShahid RazaPublished in: WISEC (2021)
Keyphrases
- anomaly detection
- intrusion detection
- data sets
- data sources
- supervised learning
- connectionist systems
- learning process
- peer to peer
- detecting anomalies
- unsupervised learning
- data processing
- pattern recognition
- reinforcement learning
- data points
- data mining techniques
- association rules
- data analysis
- network intrusion detection
- behavior analysis
- feature extraction
- anomalous behavior
- computer vision