Preprint
Aug 2026
Distributed Stochastic Smoothing ADMM for Penalized Quantile Regression
A distributed stochastic smoothing alternating direction method of multipliers (DSS-ADMM) for horizontally partitioned penalized quantile regression, which characterize the scope of an extension to the minimax concave penalty and the smoothly clipped absolute deviation penalty.
Rongmei Liang, Xiaofei Wu
· 0 citations