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cs.LG2025
GK-SMOTE: A Hyperparameter-free Noise-Resilient Gaussian KDE-Based Oversampling Approach
Mahabubur Rahman Miraj, Hongyu Huang, Ting Yang +3
Imbalanced classification is a significant challenge in machine learning, especially in critical applications like medical diagnosis, fraud detection, and cybersecurity. Traditiona…
cs.LG2022★ 2 cited
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion
Xu Zhou, Xinyu Lei, Cong Yang +3
Federated learning (FL) supports distributed training of a global machine learning model across multiple devices with the help of a central server. However, data heterogeneity acro…