Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments.
Simone MagnaniStefano BraghinAmbrish RawatRoberto Doriguzzi CorinMark PurcellDomenico SiracusaPublished in: BigData (2023)
Keyphrases
- anomaly detection
- resource constrained
- learning models
- intrusion detection
- wireless sensor networks
- machine learning
- resource constraints
- loss function
- learning tasks
- sensor networks
- learning algorithm
- machine learning algorithms
- semi supervised learning
- detecting anomalies
- conditional random fields
- network traffic
- classification models
- detect anomalies
- unsupervised learning
- learning problems
- search space
- intrusion detection system
- semi supervised
- rfid tags
- data sets
- text categorization
- real world
- similarity measure
- object recognition
- multipath
- probabilistic model
- embedded systems
- information extraction
- kernel methods
- sensor nodes