Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...
Abstract: This paper investigates the framework construction problem for discrete time distributed optimization algorithms. Since the consensus optimization task can be decomposed into consensus and ...
Abstract: Communication overhead represents a primary bottleneck in distributed deep learning, impeding training scalability. Although existing gradient sparsification techniques reduce network ...
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