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A fast randomized incremental gradient method for decentralized non-convex optimization

Nov 07, 2020
Ran Xin, Usman A. Khan, Soummya Kar


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A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization

Sep 15, 2020
Ran Xin, Usman A. Khan, Soummya Kar


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A general framework for decentralized optimization with first-order methods

Sep 12, 2020
Ran Xin, Shi Pu, Angelia Nedić, Usman A. Khan


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Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs

Aug 13, 2020
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan


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An improved convergence analysis for decentralized online stochastic non-convex optimization

Aug 10, 2020
Ran Xin, Usman A. Khan, Soummya Kar


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S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs

May 15, 2020
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan


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Gradient tracking and variance reduction for decentralized optimization and machine learning

Feb 13, 2020
Ran Xin, Soummya Kar, Usman A. Khan

* accepted for publication, IEEE Signal Processing Magazine 

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Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG

Oct 08, 2019
Ran Xin, Usman A. Khan, Soummya Kar

* arXiv admin note: text overlap with arXiv:1909.11774 

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Decentralized Stochastic First-Order Methods for Large-scale Machine Learning

Jul 23, 2019
Ran Xin, Soummya Kar, Usman A. Khan


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Distributed stochastic optimization with gradient tracking over strongly-connected networks

Apr 09, 2019
Ran Xin, Anit Kumar Sahu, Usman A. Khan, Soummya Kar


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Distributed Nesterov gradient methods over arbitrary graphs

Jan 21, 2019
Ran Xin, Dusan Jakovetic, Usman A. Khan


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