Suchergebnisse - "distributed convex optimization"

Newton-Raphson Consensus for Distributed Convex Optimization von Varagnolo, Damiano, Zanella, Filippo, Cenedese, Angelo, Pillonetto, Gianluigi, Schenato, Luca

“… , the framework where each agent of a network is endowed with a local private multidimensional convex cost, is subject to communication constraints, and wants to collaborate to compute the minimizer …”
Volltext

On Distributed Convex Optimization Under Inequality and Equality Constraints von Minghui Zhu, Martinez, S.

“… We consider a general multi-agent convex optimization problem where the agents are to collectively minimize a global objective function subject to a global inequality constraint, a global equality …”
Volltext

Constrained Consensus Algorithms With Fixed Step Size for Distributed Convex Optimization Over Multiagent Networks von Liu, Qingshan, Yang, Shaofu, Hong, Yiguang

“… In this technical note, we are concerned with constrained consensus algorithms for distributed convex optimization with a sum of convex objective functions subject to local bound and equality constraints …”
Volltext

A fixed-time convergent algorithm for distributed convex optimization in multi-agent systems von Chen, Gang, Li, Zhiyong

“… while subject to an equality constraint. The optimal solutions are achieved within fixed time which is independent of the initial conditions of agents …”
Volltext

Event-Triggered Quantized Communication-Based Distributed Convex Optimization von Shuai Liu, Lihua Xie, Quevedo, Daniel E.

“… functions and the state of each agent is subject to a convex constraint set. Considering the limited bandwidth of the communication channels, we introduce a dynamic quantizer for each agent …”
Volltext

Online Learning Algorithm for Distributed Convex Optimization With Time-Varying Coupled Constraints and Bandit Feedback von Li, Jueyou, Gu, Chuanye, Wu, Zhiyou, Huang, Tingwen

“… functions subject to time-varying coupled constraints. Both the local cost functions and constraint functions are unrevealed to an individual agent until an action is submitted …”
Volltext

A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization von Jiang, Xinrui, Qin, Sitian, Xue, Xiaoping

“… A nonsmooth distributed optimization problem subject to affine equality and convex inequality is considered in this paper …”
Volltext

A consensus algorithm based on multi-agent system with state noise and gradient disturbance for distributed convex optimization von Meng, Xiwang, Liu, Qingshan

“… Almost all systems are inevitably subject to various uncertainties or disturbances from the external environment in practical applications …”
Volltext

An adaptive online learning algorithm for distributed convex optimization with coupled constraints over unbalanced directed graphs von Gu, Chuanye, Li, Jueyou, Wu, Zhiyou

“… This paper investigates a distributed optimization problem over multi-agent networks subject to both local and coupled constraints in a non-stationary environment, where a set of agents aim …”
Volltext

Continuous-Time Distributed Subgradient Algorithm for Convex Optimization With General Constraints von Zhu, Yanan, Yu, Wenwu, Wen, Guanghui, Chen, Guanrong, Ren, Wei

“… The distributed convex optimization problem is studied in this paper for any fixed and connected network with general constraints …”
Volltext

An approximate gradient algorithm for constrained distributed convex optimization von Zhang, Yanqiong, Lou, Youcheng, Hong, Yiguang

“… The agents cooperatively compute the minimum of the sum of the local objective functions which are subject to a global inequality constraint and a global constraint set …”
Volltext

Event-Triggered Distributed Stochastic Mirror Descent for Convex Optimization von Xiong, Menghui, Zhang, Baoyong, Ho, Daniel W. C., Yuan, Deming, Xu, Shengyuan

“… ) algorithm, which utilizes the Bregman divergence as the distance-measuring function, is presented to investigate the multiagent optimization problem subject to a convex constraint set …”
Volltext

A Distributed Continuous-Time Algorithm for Nonsmooth Constrained Optimization von Chen, Gang, Yang, Qing, Song, Yongduan, Lewis, Frank L.

“… This article studies a distributed convex optimization problem with nonsmooth local objective functions subject to local inequality constraints and a coupled equality constraint …”
Volltext

Projected Primal-Dual Dynamics for Distributed Constrained Nonsmooth Convex Optimization von Zhu, Yanan, Yu, Wenwu, Wen, Guanghui, Chen, Guanrong

“… A distributed nonsmooth convex optimization problem subject to a general type of constraint, including equality and inequality as well as bounded constraints, is studied in this paper for a multiagent …”
Volltext

Achieving Convex Optimization Within Prescribed Time for Networked Euler-Lagrange Systems: A Novel Adaptive Distributed Approach With Small-Gain Conditions von Zuo, Gewei, Li, Mengmou, Wang, Yujuan, Zhu, Lijun, Song, Yongduan

“… In this article, we address the problem of prescribed-time distributed convex optimization (DCO …”
Volltext

Distributed Continuous-Time Nonsmooth Convex Optimization With Coupled Inequality Constraints von Li, Xiuxian, Xie, Lihua, Hong, Yiguang

“… This paper studies distributed convex optimization problems over continuous-time multiagent networks subject to two types of constraints, i.e …”
Volltext

Newton-Raphson consensus for distributed convex optimization von Zanella, F., Varagnolo, D., Cenedese, A., Pillonetto, G., Schenato, L.

“… We study the problem of unconstrained distributed optimization in the context of multi-agents systems subject to limited communication connectivity …”
Volltext

Distributed zero‐gradient‐sum algorithm for convex optimization with time‐varying communication delays and switching networks von Guo, Zhijun, Chen, Gang

“… Summary The distributed convex optimization problem subject to time‐varying communication delays and switching network topologies is addressed in this paper …”
Volltext

Differentially Private Distributed Convex Optimization von Ryu, Minseok, Kim, Kibaek

“… This paper considers distributed optimization (DO) where multiple agents cooperate to minimize a global objective function, expressed as a sum of local objectives, subject to some constraints …”
Volltext

A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks von Bastianello, N., Carli, R., Schenato, L., Todescato, M.

“… In this paper we propose a distributed implementation of the relaxed Alternating Direction Method of Multipliers algorithm (R-ADMM) for optimization of a …”
Volltext