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Publications about 'Distributed optimization'
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D. Ding,
X. Wei,
H. Yu,
and M. R. Jovanovic.
Byzantine-resilient distributed learning under constraints.
In Proceedings of the 2021 American Control Conference,
New Orleans, LA,
pages 2260-2265,
2021.
Keyword(s): Byzantine primal-dual optimization,
Constrained optimization,
Distributed optimization,
Robust statistical learning.
[bibtex-entry]
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D. Ding,
X. Wei,
and M. R. Jovanovic.
Distributed robust statistical learning: Byzantine mirror descent.
In Proceedings of the 58th IEEE Conference on Decision and Control,
Nice, France,
pages 1822-1827,
2019.
Keyword(s): Byzantine mirror descent,
Distributed optimization,
Dual averaging,
Robust statistical learning.
[bibtex-entry]
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S. Hassan-Moghaddam and M. R. Jovanovic.
Distributed proximal augmented Lagrangian method for nonsmooth composite optimization.
In Proceedings of the 2018 American Control Conference,
Milwaukee, WI,
pages 2047-2052,
2018.
Keyword(s): Consensus,
Distributed Optimization,
Non-smooth optimization,
Primal-dual gradient flow dynamics,
Proximal augmented Lagrangian.
[bibtex-entry]
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S. Hassan-Moghaddam and M. R. Jovanovic.
On the exponential convergence rate of proximal gradient flow algorithms.
In Proceedings of the 57th IEEE Conference on Decision and Control,
Miami, FL,
pages 4246-4251,
2018.
Note: (Invited paper).
Keyword(s): Control for optimization,
Distributed optimization,
Forward-backward envelope,
Exponential convergence,
Global exponential stability,
Gradient flow dynamics,
Large-scale systems,
Non-smooth optimization,
Primal-dual method,
Proximal algorithms,
Proximal augmented Lagrangian.
[bibtex-entry]
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Last modified: Tue May 3 09:45:45 2022
Author: mihailo.
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