Abstract: This article is devoted to addressing the distributed aggregative optimization (DAO) problem via compressed gradient tracking algorithms, where the cost function of each agent relies on the ...
Abstract: Minimizing sum-of-nonconvex functions is the critical respect in decentralized optimization, which is also the focus for machine learning. In this paper, we propose a decentralized conjugate ...
1D thermal resistance network for CPU cold plate optimization, calibrated against CFD simulations. Enables rapid parametric design studies to identify thermal bottlenecks and evaluate design ...
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