Author

Chao Yan

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#machine learning Preprint Oct 2026

Nearly Linear Private Learning of Littlestone Classes

Differentially private learning aims to learn from data while protecting individual training examples. For binary classification, finite Littlestone dimension characterizes approximate private PAC learnability (Alon et al., JACM 2022). Understanding how this dimension controls private sample complexity remains a centra...

S. Moran, Chao Yan · 0 citations