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Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches
In this paper, we propose the (de)centralized Non-blocking SGD (Non-blocking SGD) which can address the straggler problem in a heterogeneous environment.
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning
The convergence of SGD based distributed training algorithms is tied to the data distribution across workers.
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