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CODASCA's lack of robustness to corrupted labels in federated deep AUC maximization
Let CODASCA denote the min-max federated deep AUC maximization algorithm, and suppose it uses the square loss, which is not symmetric: a loss is symmetric when $\ell(z)+\ell(-z)$ i…
Conjectureopenauc-optimization federated-learning robustnessarXiv posted 2 days ago

CODASCA's lack of robustness to corrupted labels in federated deep AUC maximization