Abstract: With the rise of data-intensive applications, Energy-Efficient Distributed Systems (EEDS) have emerged as one of the most critical trends in large-scale data processing. With the growing ...
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 ...
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