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Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum

Oct 01, 2021
Guojing Cong, Tianyi Liu

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CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method

Nov 27, 2020
Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong

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Accelerating Data Loading in Deep Neural Network Training

Oct 02, 2019
Chih-Chieh Yang, Guojing Cong

* 11 pages, 12 figures, accepted for publication in IEEE International Conference on High Performance Computing, Data and Analytics (HiPC) 2019 

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A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction

Mar 12, 2019
Fan Zhou, Guojing Cong

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On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization

May 16, 2018
Fan Zhou, Guojing Cong

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