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 ...
This is the repo for the Layer_Gradient project, in which we try to understand the layer-wise gradient behaviors when LLMs are finetuned on Fast vs. Slow Thinking. What makes a difference in the ...
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