Author

Xiao-Fei Wu

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Preprint Aug 2026

A Prediction--Correction Analysis of Two-Way Block Splitting in Distributed Learning

This note revisits the convergence of the Parikh--Boyd two-way block-splitting algorithm for large-scale distributed learning through the He--Yuan prediction--correction framework and clarifies which algebraic initialization conditions allow the reduced implementation to inherit the full-space convergence and complexit...

Xiao-Fei Wu · 0 citations

Preprint Sep 2026

Heterogeneity-calibrated Byzantine-robust distributed composite quantile regression

The proposed heterogeneity-calibrated robust robust CQR (HC-RCQR) profiles local intercepts and calibrates scores using an approximate inverse profile Hessian, and establishes conditional contraction and support-recovery guarantees under suitable conditions.

Xiao-Fei Wu, Jian-Qing Shi · 0 citations

Preprint Aug 2026

Data-Driven Pinball-Loss Selection for Vertically Distributed Elastic-Net SVMs

A data-driven elastic-net support vector machine is proposed that learns simplex-constrained weights over candidate pinball losses while retaining one classifier, and a column-partitioned variable-splitting solver is developed.

Xiao-Fei Wu, Kai Qi, Rongmei Liang · 0 citations

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, Xiao-Fei Wu · 0 citations