Sharpness Measure

Sharpness measure in deep learning focuses on characterizing the flatness of the loss landscape around a model's minimum, aiming to improve generalization performance and fairness. Current research investigates sharpness-aware optimization algorithms, such as SAM and its variants, to find flatter minima, and explores their application across various domains including medical image analysis, federated learning, and video quality assessment. These efforts are significant because improved generalization leads to more robust and reliable models in diverse applications, particularly in sensitive areas like healthcare.