正则化：在高维数据交互场景中的稀疏性诱导

The introduction of a regularization term is aimed at inducing sparsity in the final solution, which is particularly important in high-dimensional data interaction scenarios. It can extract crucial feature information and avoid interference from noise or redundant features in decision-making. Related fields include sparse graphical games, adversarial example games, etc.