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02/07/2022
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights
This paper proposes AB-SAGA, a first-order distributed stochastic optimi...
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02/12/2021
A hybrid variance-reduced method for decentralized stochastic non-convex optimization
This paper considers decentralized stochastic optimization over a networ...
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11/07/2020
A fast randomized incremental gradient method for decentralized non-convex optimization
We study decentralized non-convex finite-sum minimization problems descr...
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09/12/2020
A general framework for decentralized optimization with first-order methods
Decentralized optimization to minimize a finite sum of functions over a ...
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08/17/2020
A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization
This paper describes a near-optimal stochastic first-order gradient meth...
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08/13/2020
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs
In this paper, we propose Push-SAGA, a decentralized stochastic first-or...
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08/10/2020
An improved convergence analysis for decentralized online stochastic non-convex optimization
In this paper, we study decentralized online stochastic non-convex optim...
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05/15/2020
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs
In this report, we study decentralized stochastic optimization to minimi...
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02/13/2020
Gradient tracking and variance reduction for decentralized optimization and machine learning
Decentralized methods to solve finite-sum minimization problems are impo...
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10/08/2019
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking – Part II: GT-SVRG
Decentralized stochastic optimization has recently benefited from gradie...
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07/23/2019
Decentralized Stochastic First-Order Methods for Large-scale Machine Learning
Decentralized consensus-based optimization is a general computational fr...
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03/18/2019
Distributed stochastic optimization with gradient tracking over strongly-connected networks
In this paper, we study distributed stochastic optimization to minimize ...
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01/21/2019
