Improving Rate of Convergence via Gain Adaptation in Multi-Agent Distributed ADMM Framework
IEEE Access, 2020 In this paper, the Alternating Direction Method of Multipliers (ADMM) is investigated for distributed optimization problems in a networked multi-agent system.
Towfiq Rahman +2 more
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Extension of ADMMAlgorithmin Solving Optimal Control Model Governed by Partial Differential Equation
Journal of Nigerian Society of Physical Sciences, 2021 This paper presents an Algorithm for the numerical solution of the Optimal Control model constrained by Partial Differential Equation using the Alternating Direction Method of Multipliers (ADMM) accelerated with a parameter factor in the sense of ...
Kazeem adebowale Dawodu
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Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM [PDF]
PeerJ Computer Science, 2021 The Alternating Direction Method of Multipliers (ADMM) is a popular and promising distributed framework for solving large-scale machine learning problems.
Shirin Tavara, Alexander Schliep
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Mathematics, 2022 Alternating Direction Method of Multipliers (ADMM) is a widely used machine learning tool in distributed environments. In the paper, we propose an ADMM-based differential privacy learning algorithm (FDP-ADMM) on penalized quantile regression for ...
Xingcai Zhou, Yu Xiang
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Bi-alternating direction method of multipliers
, 2013 The alternating-direction method of multipliers (ADMM) has been widely applied in the field of distributed optimization and statistic learning. ADMM iteratively approaches the saddle point of an augmented Lagrangian function by performing three updates ...
Zhang, G +3 more
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Learning-Based Signal Detection for Wireless OAM-MIMO Systems With Uniform Circular Array Antennas
IEEE Access, 2020 This paper presents a neural-like network-based signal detection method for orbital angular momentum multiplexing systems with uniform circular array antennas.
Norifumi Kamiya
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An Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal
Abstract and Applied Analysis, 2013 A combined total variation and high-order total variation model is proposed to restore blurred images corrupted by impulse noise or mixed Gaussian plus impulse noise. We attack the proposed scheme with an alternating direction method of multipliers (ADMM)
Si Wang +3 more
doaj +1 more source
A numerical Optimization of an Evaporative in HDH Desalination System: A Comparative Analysis of ADMM and Quadratic Programming [PDF]
E3S Web of ConferencesEvaporative systems play a crucial role in various industrial and environmental applications, offering energy-efficient cooling and humidification solutions. Optimizing these systems can significantly improve their performance and sustainability.
El Aouni Ibtissam +5 more
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Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology
InfoScience, EarlyView.Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang +3 more
wiley +1 more source
Efficient State Estimation in Power Networks for Reactive Power Losses Compensation [PDF]
, 2013 We consider the problem of optimal reactive power compensation for the minimization of power distribution losses in a smart microgrid with raw measurements. We provide two distributed estimation algorithms, one ADMM-based and one JACOBI-like, in order to
Di Vittorio, Alberto
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