Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Chenguang Xi"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-14 (2019)
Abstract In this paper, we discuss distributed optimization over directed graphs, where doubly stochastic weights cannot be constructed. Most of the existing algorithms overcome this issue by applying push-sum consensus, which utilizes column-stochas
Externí odkaz:
https://doaj.org/article/967166c53c6f410bbe25f1501052ba87
Autor:
Chenguang Xi, Dengfeng Cao
Publikováno v:
iLABMED.
Publikováno v:
IEEE Transactions on Automatic Control. 63:3558-3565
This paper considers a distributed optimization problem over a multi-agent network, in which the objective function is a sum of individual cost functions at the agents. We focus on the case when communication between the agents is described by a \emp
Publikováno v:
Neurocomputing. 267:508-515
In this paper, we propose a distributed algorithm, called Directed-Distributed Subgradient Descent (D-DSD), to solve multi-agent optimization problems over directed graphs. Existing algorithms mostly deal with similar problems under the assumption of
Autor:
Usman A. Khan, Chenguang Xi
Publikováno v:
IEEE Transactions on Automatic Control. 62:4980-4993
This paper develops a fast distributed algorithm, termed DEXTRA , to solve the optimization problem when $n$ agents reach agreement and collaboratively minimize the sum of their local objective functions over the network, where the communication betw
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-14 (2019)
In this paper, we discuss distributed optimization over directed graphs, where doubly-stochastic weights cannot be constructed. Most of the existing algorithms overcome this issue by applying push-sum consensus, which utilizes column-stochastic weigh
Publikováno v:
DSW
In this paper, we propose Directed-Distributed Projected Sub-gradient (D-DPS) to solve a distributed constrained optimization problem over a sensor network. Sensors collaboratively minimize a sum of convex functions, which are only locally known and
Autor:
Liqun Zhou, Kan Gong, Lei Zhang, Gengyan Xiong, Kaiwei Yang, Lin Yao, Chenguang Xi, Zhisong He, Cuijian Zhang, Qun He, Qi Tang, Dong Fang, Wei Yu, Xuesong Li
Publikováno v:
World Journal of Urology. 34:871-877
To evaluate the association between tumor squamous and/or glandular differentiation and tumor biological characteristics and to validate the impact of these histologic variants on oncologic outcomes of UTUC patients. We retrospectively analyzed the d
Publikováno v:
Annals of Diagnostic Pathology. 19:57-63
Renal cell carcinoma (RCC) with rhabdoid differentiation is a recently described variant of RCC, which has seldom been reported in China. This form of differentiation has been generally associated with a poor prognosis and is often present in tumors
Autor:
Chenguang Xi, Usman A. Khan
Publikováno v:
ICASSP
This paper considers distributed multi-agents optimization problems where agents collaborate to minimize the sum of locally known convex functions. We focus on the case when the communication between agents is described by a directed graph. The propo