L1 正则化：高维数据交互中的稀疏性诱导

The introduction of the L1 regularization term is aimed at inducing sparsity in the final solution, which is particularly important in high-dimensional data interaction scenarios. It can extract key feature information and avoid interference from noise or redundant features in decision-making. Related fields include sparse graphical games and adversarial example games.