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FetchSGD: Communication-Efficient Federated Learning with Sketching

Jul 15, 2020
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora


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Ansor : Generating High-Performance Tensor Programs for Deep Learning

Jun 11, 2020
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph Gonzalez, Ion Stoica


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HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

Jan 08, 2020
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov


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Domain-Aware Dynamic Networks

Nov 26, 2019
Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer


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A View on Deep Reinforcement Learning in System Optimization

Sep 04, 2019
Ameer Haj-Ali, Nesreen K. Ahmed, Ted Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica


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Deep Reinforcement Learning in System Optimization

Aug 07, 2019
Ameer Haj-Ali, Nesreen K. Ahmed, Ted Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica


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ANODEV2: A Coupled Neural ODE Evolution Framework

Jun 10, 2019
Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael Mahoney


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On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent

Nov 30, 2018
Noah Golmant, Nikita Vemuri, Zhewei Yao, Vladimir Feinberg, Amir Gholami, Kai Rothauge, Michael W. Mahoney, Joseph Gonzalez


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ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale

Nov 03, 2018
Samvit Jain, Junchen Jiang, Yuanchao Shu, Ganesh Ananthanarayanan, Joseph Gonzalez

* 14 pages 

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Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

Sep 07, 2018
Samvit Jain, Xin Wang, Joseph Gonzalez

* 8 pages 

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Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld

Mar 24, 2018
Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer


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Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

Dec 03, 2017
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer

* Source code will be released afterwards 

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Hemingway: Modeling Distributed Optimization Algorithms

Feb 20, 2017
Xinghao Pan, Shivaram Venkataraman, Zizheng Tai, Joseph Gonzalez

* Presented at ML Systems Workshop at NIPS, Dec 2016 

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MLI: An API for Distributed Machine Learning

Oct 25, 2013
Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska


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Distributed GraphLab: A Framework for Machine Learning in the Cloud

Apr 26, 2012
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

* Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 8, pp. 716-727 (2012) 
* VLDB2012 

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GraphLab: A Distributed Framework for Machine Learning in the Cloud

Jul 05, 2011
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin

* CMU Tech Report, GraphLab project webpage: http://graphlab.org 

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GraphLab: A New Framework for Parallel Machine Learning

Jun 25, 2010
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

* The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, California, July 8-11, 2010 

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