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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Analysis of distributed SG algorithm
分布式 SG算法 分析
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2023/5/12
In this talk, a distributed stochastic gradient (SG) algorithm is proposed where the estimators are aimed to collectively estimate an unknown time-invariant parameter from a set of noisy measurements ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition
协作 非持续激励条件 随机动态系统 分布式 稀疏辨识
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2023/4/28
This talk considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochastic dynamic s...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed Event-Triggered Algorithm for Convex Optimization with Coupled Constraints
耦合约束凸优化 分布式事件 触发算法
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2023/5/17
This talk concerns the nonsmooth distributed optimization problem via multi-agent network with the coupled equality and inequality constraints. The considered global optimization problem is to minimiz...
Designing fast distributed iterations via semidefinite programming
Iteration markov chain the transition probability mixing ratio the monte carlo markov chain
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2015/8/11
The general setting we consider involves a process, iteration, or method in which the computation or communication at each step is local, determined by a given graph, and involves some parameters or c...
Distributed average consensus with least-mean-square deviation
Distributed average consensus Least-mean-square Convex optimization Edge-transitive graphs
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2015/8/10
We consider a stochastic model for distributed average consensus, which arises in applications such as load balancing for parallel processors, distributed coordination of mobile autonomous agents, and...
A distributed algorithm for fitting generalized additive models
Convex optimization Distributed optimization Generalized additive models
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2015/8/7
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
Block splitting for distributed optimization
Distributed computing convex optimization data large linear operator matrix machine
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2015/8/7
This paper describes a general purpose method for solving convex optimization problems in a distributed computing environment. In particular, if the problem data includes a large linear operator or ma...
A fast solver for the Stokes equations with distributed forces in complex geometries
Stokes equations Fast solvers Integral equations Double-layer potential Fast multipole methods Embedded domain methods Immersed interface methods Fictitious domain methods Cartesian grid methods Moving boundaries
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2015/7/14
We present a new method for the solution of the Stokes equations. The main features of our method are: (1) it can be applied to arbitrary geometries in a black-box fashion; (2) it is second-order accu...
Deterministic Distributed Data Aggregation under the SINR Model
SINR interference model, data aggregation, physical carriersensing.
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2012/12/3
Given a set of nodes V, where each node has some data value,the goal of data aggregation is to compute some aggregate function in the fewest timeslots possible. Aggregate functions compute the aggrega...
Connectivity Threshold of Random Geometric Graphs with Cantor Distributed Vertices
Cantor distribution connectivity threshold random geometric graph singular distributions
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2012/4/18
For connectivity of \emph{random geometric graphs}, where there is no density for underlying distribution of the vertices, we consider $n$ i.i.d. \emph{Cantor} distributed points on $[0,1]$. We show t...
Continuous-time distributed convex optimization on directed graphs
Continuous-time convex optimization directed graphs Optimization and Control
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2012/4/17
This paper studies the continuous-time distributed optimization of a sum of convex functions over directed graphs. Contrary to what is known in the consensus literature, where the same dynamics works ...
D-iteration: Evaluation of the Asynchronous Distributed Computation
Distributed computation Iteration Fixed point Eigenvector
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2012/2/29
The aim of this paper is to present a first evaluation of the potential of an asynchronous distributed computation associated to the recently proposed approach, D-iteration: the D-iteration is a fluid...
Improved Partial Least Square and Multi-group Structural Equation Model Using Distributed Computing
Structural Equation Model Partial least square Iterative initial value Multi-group Distributed Computing
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2011/11/12
Structural equation model has become a very popular data-analytic technique. It is widely applied in Psychology and Sociology as well as other fields, especially in Customer Satisfaction Index (CSI) m...
Explicit Bounds for the Distribution Function of the Sum of Dependent Normally Distributed Random Variables
Explicit Bounds Dependent Normally Distributed Random Variables Distribution Function of the Sum
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2011/9/19
Abstract: In this paper an analytic expression is given for the bounds of the distribution function of the sum of dependent normally distributed random variables. Using the theory of copulas and the i...
Distributed Local Broadcasting Algorithms in the Physical Interference Model
Local Broadcasting Algorithms Physical Interference Model
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2012/11/30
Given a set of sensor nodes V where each node wants to broadcast a message to all its neighbors that are within a certain broadcasting range, the local broadcasting problem is to schedule all these re...