Timed dataflow: Reducing communication overhead for distributed machine learning systems

Many distributed machine learning (ML) systems exhibit high communication overhead when dealing with big data sets. Our investigations showed that popular distributed ML systems could spend about an order of magnitude more time on network communication than computation to train ML models containing...

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Bibliographic Details
Main Authors: SUN, Peng, WEN, Yonggang, TA, Nguyen Binh Duong, YAN, Shengen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/4834
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Institution: Singapore Management University
Language: English