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Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

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Optimización Primal-Dual Descentralizada Sin Continuidad Lipschitz Global

Luqing Wang, Shaofu Yang, Min-Ling Zhang

IEEE transactions on neural networks and learning systems

|February 4, 2026

Resumen

Este resumen es generado por máquina.

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.

Palabras clave:

Optimización Descentralizada Aprendizaje Automático Convergencia Rápida Continuidad Lipschitz Algoritmos Adaptativos

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