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Abstract: Increasingly large-scale models and rich data sets make communication overhead a key bottleneck for distributed Deep Neural Network (DNN) training, constantly attracting the attention of ...
Abstract: This study explores distributed optimization problems with clique- wise coupling via operator splitting and how we can utilize this framework for performance analysis and enhancement. This ...