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cs.LG2025
Learning to accelerate distributed ADMM using graph neural networks
Henri Doerks, Paul Häusner, Daniel Hernández Escobar +1
Distributed optimization is fundamental to large-scale machine learning and control applications. Among existing methods, the alternating direction method of multipliers (ADMM) has…
cs.LG2024★ 1 cited
Learning incomplete factorization preconditioners for GMRES
Paul Häusner, Aleix Nieto Juscafresa, Jens Sjölund
Incomplete LU factorizations of sparse matrices are widely used as preconditioners in Krylov subspace methods to speed up solving linear systems. Unfortunately, computing the preco…