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Abstract: Distributed training is the most common way to scale out and accelerate Deep Neural Network (DNN) training. Distributed DNN training requires synchronization of gradient aggregation among ...
Abstract: Compared to traditional centralized clustering, distributed clustering offers the advantage of parallel processing of data from different sites, enhancing the efficiency of clustering while ...