We propose a parameter server framework to solve distributed machine learning problems. Both data and workload are distributed into client nodes, while server nodes maintain globally shared parameters, which are represented as sparse vectors and matrices. The framework manages asynchronous data communications between clients and servers. Flexible consistency models, elastic scalability and faul...

The volume here presented contains the Proceedings of the International Conference on Control of Distributed Parameter Systems, held in Graz (Austria) from July 15–21, 2001. It was the one eighth in a series of conferences that began in 1982. The book includes are a broad variety of topics related to partial differential equations, ranging from abstract functional analytic framework to aspects ...

In catchments characterized by spatially varying hydrological processes and responses, the optimal parameter values or regions of attraction in parameter space may differ with location-specific characteristics and dominating processes. This paper evaluates the value of semi-distributed calibration parameters for large-scale streamflow simulation using the spatially distributed LISFLOOD model. W...

This paper formulates and solves the problem of model identification and parameter uncertainty in plutonium storage systems. A systematic procedure helps to choose among alternative mathematical models with different properties and degrees of freedom. Rigorous metrics for measuring the statistical alignment between five different physical models and given experimental data are discussed. On the...

The notion of spreadability was introduced by A. El Jai and al. 1994 [8, 9] to describe some biogeographical problems. An extension (A-spreadability) was given in 1998, Bernoussi [5]. The aim of this paper is to explore some interesting connections of this notion with wavefronts [11] and level set [13]. Also the spray control problem is investigated in connection with tracking interfaces. The r...

In this paper, we will discuss the use of new methods from robust control and especially H°° theory for the explicit construction optimal feedback compensators for several practical distributed parameter systems. Indeed, based on operator and interpolation theoretic methods one can now solve the standard H control problem for a broad class of systems modelled by PDEs. In our approach, the compl...

This contribution is devoted to the accessibility analysis of distributed parameter systems. A formal system theoretical approach is proposed by means of differential geometry, which allows an intrinsic representation for the class of infinite dimensional systems. Beginning with the introduction of a convenient representation form, in particular, the accessibility along a trajectory is discusse...

(ABSTRACT) We consider the problem of controlling a thermal convection flow by feedback. The system is governed by the Boussinesq approximation of the coupled set of Navier-Stokes and heat equations. The control is applied through Dirichlet boundary conditions. We concentrate on a two-dimensional model and use a semidiscrete Galerkin scheme for numerical computations. We construct both a linear...

This note contains a description of the concepts of spreadability and feedback spreading control (FSC) for distributed parameter systems (DPS), the approaches used until now along with applications and a list of references to works including peer-reviewed papers, communications to international meetings and theses. Distributed biophysical processes usually involve spreads in space, e.g. biologi...