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Found 2 papers, 1 papers with code
Priority-based Parameter Propagation for Distributed DNN Training
Data parallel training is widely used for scaling distributed deep neural network (DNN) training.
High-Performance Distributed ML at Scale through Parameter Server Consistency Models
As Machine Learning (ML) applications increase in data size and model complexity, practitioners turn to distributed clusters to satisfy the increased computational and memory demands.
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