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We consider the distributed optimization problem in which a network of agents aims to minimize the average of local functions.
A discrete state-space model for linear image processing
R. Roesser · 1975
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Doubly-indexed dynamical systems: State-space models and structural properties
E. Fornasini and G. Marchesini · 1978
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On distributed optimization in networked systems
B. Johansson · 2008
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Distributed subgradient methods for multi-agent optimization
A. Nedić and A. Ozdaglar · 2009
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A collaborative training algorithm for distributed learning
J. B. Predd, S. R. Kulkarni, and H. V. Poor · 2009
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Consensus-based distributed support vector machines
P. A. Forero, A. Cano, and G. B. Giannakis · 2010
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A complete characterization of a class of robust linear average consensus protocols
R. Freeman, T. Nelson, and K. Lynch · 2010
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Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Q. Ling and Z. Tian · 2010
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A general analysis of the convergence of ADMM
R. Nishihara, L. Lessard, B. Recht, A. Packard, and M. I. Jordan · 2015
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EXTRA: An exact first-order algorithm for decentralized consensus optimization
W. Shi, Q. Ling, G. Wu, and W. Yin · 2015
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A proximal gradient algorithm for decentralized composite optimization
W. Shi, Q. Ling, G. Wu, and W. Yin · 2015
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Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes
J. Xu, S. Zhu, Y. C. Soh, and L. Xie · 2015
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Analysis and design of optimization algorithms via integral quadratic constraints
L. Lessard, B. Recht, and A. Packard · 2016
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Accelerated distributed Nesterov gradient descent for smooth and strongly convex functions
Robust convergence analysis of distributed optimization algorithms
A. Sundararajan, B. Hu, and L. Lessard · 2017
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Exact diffusion for distributed optimization and learning—Part I: Algorithm development; Part II: Convergence analysis
K. Yuan, B. Ying, X. Zhao, and A. H. Sayed · 2017
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A distributed stochastic gradient tracking method
S. Pu and A. Nedić · 2018
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Harnessing smoothness to accelerate distributed optimization
G. Qu and N. Li · 2018
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R. Xin and U. A. Khan · 2018
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Convergence of asynchronous distributed gradient methods over stochastic networks
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G. Qu and N. Li · 2016
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Z. Li, W. Shi, and M. Yan · 2017
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Achieving geometric convergence for distributed optimization over time-varying graphs
A. Nedić, A. Olshevsky, and W. Shi · 2017
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J. Xu, S. Zhu, Y. C. Soh, and L. Xie · 2018
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A unification and generalization of exact distributed first-order methods
D. Jakovetić · 2019
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