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Updated: Feb 6, 2026

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Optimización Primal-Dual Descentralizada Sin Continuidad Lipschitz Global
IEEE transactions on neural networks and learning systems
|February 4, 2026
Resumen
Este estudio presenta algoritmos descentralizados adaptativos (ADPPD y ADPD) para problemas de optimización, superando las limitaciones de los métodos existentes al utilizar estimaciones de continuidad Lipschitz local. Estos algoritmos escalables ofrecen una convergencia más rápida sin necesidad de constantes Lipschitz globales.
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