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Found 3 papers, 2 papers with code
PI-FL: Personalized and Incentivized Federated Learning
Personalized FL has been widely used to cater to heterogeneity challenges with non-IID data.
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Ensemble learning combines multiple models to obtain a robust model and has been prominently used with data augmentation methods to address class imbalance problems.
Balanced Split: A new train-test data splitting strategy for imbalanced datasets
Classification data sets with skewed class proportions are called imbalanced.
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