Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment.
Xu WangYuanzhu Peter ChenOctavia A. DobrePublished in: ICC (2022)
Keyphrases
- anomaly detection
- real world
- intrusion detection
- network traffic
- network intrusion detection
- learning process
- learning algorithm
- computer security
- detecting anomalies
- connectionist systems
- supervised learning
- unsupervised learning
- data sets
- reinforcement learning
- learning problems
- malware detection
- one class support vector machines
- network anomaly detection
- unsupervised anomaly detection