Results 71 to 80 of about 7,185 (222)

On the Convergence of Bregman ADMM With Variational Inequality

IEEE Access, 2020
The alternating direction method of multipliers (ADMM) is one of most foundational algorithms for linear constrained composite minimization problems. For different specific problems, variations of ADMM (like linearized ADMM, proximal ADMM) are developed.
Peibing Du, Hao Jiang
doaj   +1 more source

Tracing Three Decades of Low Earth Orbit Satellite Communication Development: A Bibliometric and Main Path Analysis of Network Architectures, Protocol Evolution, and Emerging Intelligent Services

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite communication systems have evolved into a critical component of global broadband networks, enabling wide‐area connectivity, IoT services, and intelligent multilayer satellite–terrestrial integration. Despite rapid advancements in constellation deployment, routing mechanisms, resource management, and LEO–5G/6G ...
Wei‐Hao Su, Ya‐Chen Chuang, Long‐Sheng Chen   +2 more
wiley   +1 more source

Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization

, 2020
The alternating direction method of multipliers (ADMM) has recently been recognized as a promising approach for large-scale machine learning models. However, very few results study ADMM from the aspect of communication costs, especially jointly with ...
Ye, Yu,, Mikael Skoglund, Hao Chen, Ming Xiao, H. Vincent Poor, Yu Ye, Chen, Hao,, Xiao, Ming,, Skoglund, Mikael,, Poor, H. Vincent,   +9 more
core   +1 more source

ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar

, 2021
Complex ADMM-Net, a complex-valued neural network architecture inspired by the alternating direction method of multipliers (ADMM), is designed for interference removal in stepped-frequency radar super-resolution angle-range-doppler imaging.
Johnston, Jeremy, Li, Yinchuan, Wang, Xiaodong, Lops, Marco   +3 more
core   +1 more source

Sequential inertial linear ADMM algorithm for nonconvex and nonsmooth multiblock problems with nonseparable structure

Journal of Inequalities and Applications
The alternating direction method of multipliers (ADMM) has been widely used to solve linear constrained problems in signal processing, matrix decomposition, machine learning, and many other fields.
Zhonghui Xue, Kaiyuan Yang, Qianfeng Ma, Yazheng Dang   +3 more
doaj   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

Proceedings of the AAAI Conference on Artificial Intelligence
The Alternating Direction Method of Multipliers (ADMM) has gained significant attention across a broad spectrum of machine learning applications. Incorporating the over-relaxation technique shows potential for enhancing the convergence rate of ADMM.
Song, Jintao, Lu, Wenqi, Lei, Yunwen, Tang, Yuchao, Pan, Zhenkuan, Duan, Jinming   +5 more
openaire   +3 more sources

GMRES-Accelerated ADMM for Quadratic Objectives [PDF]

SIAM Journal on Optimization, 2018
31 pages, 7 figures. Accepted for publication in SIAM Journal on Optimization (SIOPT)
Zhang, Richard Y, White, Jacob K
openaire   +3 more sources

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, Zhihua Qu, Toru Namerikawa   +2 more
doaj   +1 more source