The article discusses how to estimate means in high-dimensional Gaussian models with few non-zero means. It shows that group thresholding estimators can improve estimation rates compared to element-wise thresholding. The study also explores estimating the common mean of inliers in Gaussian vectors, proposing new robust estimation strategies with better convergence rates.