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Chuang Yang

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Aug 2026

Stochastic ADMM with Balanced Augmented Lagrangian Method for Nonconvex and Nonsmooth Finite-Sum Optimization

In this paper, we propose a balanced augmented Lagrangian method based on accelerated stochastic ADMM (b-ASADMM) to efficiently solve structured separable nonconvex optimization problems subject to linear constraints. The objective function in this problem comprises potentially nonsmooth and smooth functions, where the...

Qiaoling Zhang, Chuang Yang, Hu Shao · 0 citations

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