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Found 4 papers, 1 papers with code
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data
This study examines the impact of class-imbalanced data on deep learning models and proposes a technique for data balancing by generating synthetic data for the minority class.
Federated Learning for distribution skewed data using sample weights
The main idea is to adjust the client distribution closer to the global distribution using sample weights.
Complementary Ensemble Learning
To achieve high performance of a machine learning (ML) task, a deep learning-based model must implicitly capture the entire distribution from data.
AutoGAN-based Dimension Reduction for Privacy Preservation
Protecting sensitive information against data exploiting attacks is an emerging research area in data mining.
Cryptography and Security
