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Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.

Abstract: In the distributed triangle detection problem, we have an n-vertex network G = (V, E) with one player for each vertex of the graph who sees the edges incident on the vertex. The players ...

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Experimental results show that the models constructed by the proposed method not only maintain geological semantic consistency and coherence but also accurately characterize the spatial distribution ...