Author

Jaewan Choi

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Preprint Aug 2026

SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning

SAUL (Sharpness-Aware Augmented-Lagrangian Unlearning), which formulates unlearning as a constrained minimization problem following the principle of "forget enough, but no more than necessary," is proposed.

Jaewan Choi, Junyoung Yang, Sangdon Park · 0 citations