High-dimensional measurement error data are becoming more prevalent across various fields. Research on regression models has gained momentum due to the risk of drawing inaccurate conclusions if errors ignored. When dimension p is larger than sample size n, it challenging develop statistical inference methods for high-dimensional existence bias, nonconvexity objective function, high computationa...