Yunjiao Zhang

Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning

Continual Learning (CL) aims to enable models to sequentially learn multiple tasks without forgetting previous knowledge. Recent studies have shown that optimizing towards flatter loss minima can improve model generalization. However, existing sharpness-aware methods for CL suffer from two key limit