Fetching the paper…
Reading the bibliography…
In this paper, we consider the decentralized dynamic optimization problem defined over a multi-agent network.
Introductory Lectures on Convex Optimization: A Basic Course
Y. Nesterov, · 2004
Earlier work this paper cites.
“Gradient methods for nonstationary unconstrained optimization problems,”
A. Y. Popkov, · 2005
Earlier work this paper cites.
“Distributed subgradient methods for multi-agent optimization,”
A. Nedić and A. Ozdaglar, · 2009
Earlier work this paper cites.
“Distributed sparse linear regression,”
G. Mateos, J. A. Bazerque, and G. B. Giannakis, · 2010
Earlier work this paper cites.
“Discrete-time dynamic average consensus,”
M. Zhu and S. Martinez, · 2010
Earlier work this paper cites.
“Dual averaging for distributed optimization: convergence analysis and network scaling,”
J. C. Duchi, A. Agarwal, and M. J. Wainwright, · 2012
Earlier work this paper cites.
Matrix Analysis
R. A. Horn and C. R. Johnson, · 2012
Earlier work this paper cites.
“D-map: Distributed maximum a posteriori probability estimation of dynamic systems,”
F. Y. Jakubiec and A. Ribeiro, · 2013
Earlier work this paper cites.
“D-ADMM: A communication-efficient distributed algorithm for separable optimization,”
J. F. Mota, J. M. Xavier, P. M. Aguiar, and M. Püschel, · 2013
Earlier work this paper cites.
“Decentralized dynamic optimization through the alternating direction method of multipliers,”
Q. Ling and A. Ribeiro, · 2013
Earlier work this paper cites.
“Distributed Pareto optimization via diffusion strategies,”
J. Chen and A. H. Sayed, · 2013
Earlier work this paper cites.
“On distributed online classification in the midst of concept drifts,”
Z. J. Towfic, J. Chen, and A. H. Sayed, · 2013
Earlier work this paper cites.
“Distributed decision-making over adaptive networks,”
S.-T. Tu and A. H. Sayed, · 2014
Earlier work this paper cites.
“Adaptive networks,”
A. H. Sayed, · 2014
Earlier work this paper cites.
“Adaptation, learning, and optimization over networks,”
A. H. Sayed, · 2014
Earlier work this paper cites.
“On the linear convergence of the ADMM in decentralized consensus optimization,”
W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin, · 2014
Earlier work this paper cites.
“Double smoothing for time-varying distributed multiuser optimization,”
A. Simonetto and G. Leus, · 2014
Cited alongside, same era.
“DLM: Decentralized linearized alternating direction method of multipliers,”
Q. Ling, W. Shi, G. Wu, and A. Ribeiro, · 2015
Cited alongside, same era.
“Multi-agent distributed optimization via inexact consensus ADMM,”
T.-H. Chang, M. Hong, and X. Wang, · 2015
Cited alongside, same era.
“EXTRA: An exact first-order algorithm for decentralized consensus optimization,”
W. Shi, Q. Ling, G. Wu, and W. Yin, · 2015
Cited alongside, same era.
“Stability and performance limits of adaptive primal-dual networks,”
Z. J. Towfic and A. H. Sayed, · 2015
Cited alongside, same era.
“On the convergence of decentralized gradient descent,”
K. Yuan, Q. Ling, and W. Yin, · 2016
“Distributed continuous-time convex optimization with time-varying cost functions,”
S. Rahili and W. Ren, · 2018
Later among the works it cites.
“Admm for distributed dynamic beam-forming,”
M. Maros and J. Jalden, · 2018
Later among the works it cites.
“Exact diffusion for distributed optimization and learning—Part i: Algorithm development,”
K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, · 2018
Later among the works it cites.
“Harnessing smoothness to accelerate distributed optimization,”
G. Qu and N. Li, · 2018
Later among the works it cites.
“A linear algorithm for optimization over directed graphs with geometric convergence,”
R. Xin and U. A. Khan, · 2018
Later among the works it cites.
“D2: Decentralized training over decentralized data,”
H. Tang, X. Lian, M. Yan, C. Zhang, and J. Liu, · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
“Next: In-network nonconvex optimization,”
P. Di Lorenzo and G. Scutari, · 2016
Cited alongside, same era.
“Distributed dynamic optimization over directed graphs,”
C. Xi and U. A. Khan, · 2016
Cited alongside, same era.
“A decentralized second-order method for dynamic optimization,”
A. Mokhtari, W. Shi, Q. Ling, and A. Ribeiro, · 2016
Cited alongside, same era.
“A class of prediction-correction methods for time-varying convex optimization,”
A. Simonetto, A. Mokhtari, A. Koppel, G. Leus, and A. Ribeiro, · 2016
Cited alongside, same era.
“Network Newton distributed optimization methods,”
A. Mokhtari, Q. Ling, and A. Ribeiro, · 2017
Cited alongside, same era.
“Newton-like method with diagonal correction for distributed optimization,”
D. Bajovic, D. Jakovetic, N. Krejic, and N. K. Jerinkic, · 2017
Cited alongside, same era.
Later among the works it cites.
“A distributed stochastic gradient tracking method,”
S. Pu and A. Nedić, · 2018
Later among the works it cites.
“Balancing communication and computation in distributed optimization,”
A. Berahas, R. Bollapragada, N. S. Keskar, and E. Wei, · 2018
Later among the works it cites.
“A sharp convergence rate analysis for distributed accelerated gradient methods,”
H. Li, C. Fang, W. Yin, and Z. Lin, · 2018
Later among the works it cites.
Time-Varying Optimization and Its Application to Power System Operation
Y. Tang, · 2019
Later among the works it cites.
“Optimization and learning with information streams: Time-varying algorithms and applications,”
E. Dall’Anese, A. Simonetto, S. Becker, and L. Madden, · 2019
Later among the works it cites.
“A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates,”
Z. Li, W. Shi, and M. Yan, · 2019
Later among the works it cites.
“On the influence of bias-correction on distributed stochastic optimization,”
K. Yuan, S. A. Alghunaim, B. Ying, and A. H. Sayed, · 2019
Later among the works it cites.
“An introduction to decentralized stochastic optimization with gradient tracking,”
R. Xin, S. Kar, and U. A. Khan, · 2019
Later among the works it cites.
“Exact dffusion for distributed optimization and learning – Part I: Algorithm development,”
K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, · 2019
Later among the works it cites.
“Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes,”
J. Xu, S. Zhu, Y. C. Soh, and L. Xie, · 2060
Closest in time.