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Stochastic Gradient Descent without Full Data Shuffle


Jun 12, 2022
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

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* This technical report is an extension of our SIGMOD 2022 paper titled "In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle". https://doi.org/10.1145/3514221.3526150 

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Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)


Mar 28, 2019
Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang

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* PVLDB, 2019 
* 18 pages 

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Compressive Sensing with Low Precision Data Representation: Theory and Applications


Jun 06, 2018
Nezihe Merve Gürel, Kaan Kara, Alen Stojanov, Tyler Smith, Dan Alistarh, Markus Püschel, Ce Zhang

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* 33 pages, 9 figures 

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Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond


Oct 09, 2017
Heng Guo, Kaan Kara, Ce Zhang

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* v2: typo fixes and improved presentation 

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The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning


Jun 19, 2017
Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang

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