Regularization-based distributed bilevel nonsmooth optimization over unbalanced graphs

doi:10.1016/j.cnsns.2026.109714

Regularization-based distributed bilevel nonsmooth optimization over unbalanced graphs

2026-01-10

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DOI：10.1016/j.cnsns.2026.109714

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Abstract

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• A distributed algorithm with iterative regularization is developed for bilevel optimization problems. • A row-stochastic matrix is employed to address the graph unbalancedness issue. • The gradient Lipschitz continuity assumption is relaxed to the Lipschitz continuity of the objective function.

Regularization-based distributed bilevel nonsmooth optimization over unbalanced graphs

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