Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition.
Yu WangGuan GuiHaris GacaninBamidele AdebisiHikmet SariFumiyuki AdachiPublished in: IEEE Trans. Cogn. Commun. Netw. (2022)
Keyphrases
- class imbalance
- active learning
- supervised learning
- imbalanced data sets
- pattern recognition
- machine learning
- high dimensionality
- learning algorithm
- unsupervised learning
- learning process
- image classification
- cost sensitive
- concept drift
- class distribution
- cost sensitive learning
- dimensionality reduction
- text classification
- classification algorithm
- machine learning methods
- support vector
- pattern classification
- decision trees
- feature selection
- class noise