Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices.
Marie SiewShoba ArunasalamYichen RuanZiwei ZhuLili SuStratis IoannidisEdmund YehCarlee Joe-WongPublished in: IPSN (2023)
Keyphrases
- resource constrained
- learning models
- wireless sensor networks
- resource constraints
- sensor networks
- learning tasks
- learning problems
- machine learning
- semi supervised learning
- loss function
- learning algorithm
- machine learning algorithms
- unsupervised learning
- conditional random fields
- supervised learning
- e learning
- multipath
- sensor data
- data points
- embedded systems
- classification models
- feature selection