Addressing Class Imbalance in Federated Learning via Collaborative GAN-Based Up-Sampling.
Can ZhangXuefeng LiuShaojie TangJianwei NiuTao RenQuanquan HuPublished in: WiCON (2022)
Keyphrases
- class imbalance
- active learning
- learning process
- learning algorithm
- unsupervised learning
- imbalanced data sets
- majority class
- sampling methods
- data sets
- supervised learning
- reinforcement learning
- machine learning
- dimensionality reduction
- text classification
- error rate
- prediction accuracy
- test data
- high dimensionality
- cost sensitive
- random sampling
- class distribution
- prior knowledge
- bayesian networks