BALA, a single-loop bundle-based augmented Lagrangian algorithm, achieves sublinear convergence for convex constrained problems and linear convergence for a class of conic programs including semidefinite programs.
Revisiting spectral bundle metho ds: Primal-dual (sub) linear convergence rates
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A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles
BALA, a single-loop bundle-based augmented Lagrangian algorithm, achieves sublinear convergence for convex constrained problems and linear convergence for a class of conic programs including semidefinite programs.