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20142022
most citedA decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

261 citations · 503 across the 19 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SP2019★ 2 cited

Decentralized Frequency Alignment for Collaborative Beamforming in Distributed Phased Arrays

Hassna Ouassal, Ming Yan, Jeffrey A. Nanzer

A new approach to distributed syntonization (frequency alignment) for the coordination of nodes in open loop coherent distributed antenna arrays to enable distributed beamforming i…

cs.LG2019★ 9 cited

Manifold Denoising by Nonlinear Robust Principal Component Analysis

He Lyu, Ningyu Sha, Shuyang Qin +3

This paper extends robust principal component analysis (RPCA) to nonlinear manifolds. Suppose that the observed data matrix is the sum of a sparse component and a component drawn f…

cs.LG2019★ 29 cited

A Double Residual Compression Algorithm for Efficient Distributed Learning

Xiaorui Liu, Yao Li, Jiliang Tang +1

Large-scale machine learning models are often trained by parallel stochastic gradient descent algorithms. However, the communication cost of gradient aggregation and model synchron…

math.OC2019★ 1 cited

On linear convergence of two decentralized algorithms

Yao Li, Ming Yan

Decentralized algorithms solve multi-agent problems over a connected network, where the information can only be exchanged with the accessible neighbors. Though there exist several…

math.NA2019★ 77 cited

Accelerated Schemes for the Minimization

Chao Wang, Ming Yan, Yaghoub Rahimi +1

In this paper, we consider the minimization for sparse recovery and study its relationship with the - model. Based on this relationship, we propose three nu…