33 citations · 64 across the 6 of their papers we have counts for
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cs.LG2022★ 24 cited
Federated Learning with Label Distribution Skew via Logits Calibration
Jie Zhang, Zhiqi Li, Bo Li +4
Traditional federated optimization methods perform poorly with heterogeneous data (ie, accuracy reduction), especially for highly skewed data. In this paper, we investigate the lab…
cs.LG2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning
Jie Zhang, Lei Zhang, Gang Li +1
Adversarial examples are inputs for machine learning models that have been designed by attackers to cause the model to make mistakes. In this paper, we demonstrate that adversarial…