244 citations · 883 across the 23 of their papers we have counts for
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math.OC2021★ 6 cited
A Stochastic Proximal Gradient Framework for Decentralized Non-Convex Composite Optimization: Topology-Independent Sample Complexity and Communication Efficiency
Ran Xin, Subhro Das, Usman A. Khan +1
Decentralized optimization is a promising parallel computation paradigm for large-scale data analytics and machine learning problems defined over a network of nodes. This paper is…
math.OC2021★ 8 cited
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin, Usman A. Khan, Soummya Kar
This paper considers decentralized stochastic optimization over a network of nodes, where each node possesses a smooth non-convex local cost function and the goal of the networ…