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20232026
most citedEnhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies

31 citations · 34 across the 6 of their papers we have counts for

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cs.LG2025

Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method

Samuel A. Cruz Alegría, Ken Trotti, Alena Kopaničáková +1

Parallel training methods are increasingly relevant in machine learning (ML) due to the continuing growth in model and dataset sizes. We propose a variant of the Additively Precond…