Adaptive Federated Learning for Automatic Modulation Classification Under Class and Noise Imbalance.
Jose Sanchez-ViloriaDimitris StripelisPanos P. MarkopoulosGeorge SklivanitisDimitris A. PadosPublished in: AAAI Spring Symposia (2024)
Keyphrases
- supervised learning
- learning process
- learning algorithm
- incremental learning
- learning systems
- classification accuracy
- unsupervised learning
- feature selection
- pattern recognition
- noisy data
- cost sensitive
- adaptive learning
- multi class classification
- online learning
- image classification
- learning phase
- support vector
- e learning
- hypothesis space
- positive examples
- structured output
- noise level
- noise reduction
- class labels
- machine learning algorithms
- training examples
- digital libraries
- reinforcement learning