Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems.
Dylan PerdigãoTiago CruzPaulo SimõesPedro Henriques AbreuPublished in: NOMS (2024)
Keyphrases
- anomaly detection
- data centric
- intrusion detection
- unsupervised learning
- connectionist systems
- learning process
- learning algorithm
- network intrusion detection
- anomalous behavior
- network anomaly detection
- intrusion detection system
- reinforcement learning
- pattern recognition
- control system
- distributed systems
- detecting anomalies
- business processes
- databases
- data mining
- application development
- information integration
- activity recognition
- metadata
- machine learning
- data sets
- knowledge discovery
- training data