task assignment problem (tap) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. tap is a combinatorial optimization problem and np-complete. this paper proposes a hybrid meta-heuristic algorithm for solving tap in a h...

This article presents scalable controller synthesis methods for heterogeneous and partially systems. First, systems composed of different subsystems that are interconnected over a directed graph considered. Techniques from robust gain-scheduled employed, in particular, the full-block S-procedure, to deal with decentralized system part nominal condition interconnection multiplier condition. Unde...

Abstract Fundamentals of cluster variation (CV) are developed for locally heterogeneous spatially distributed systems. The theory is based on the principles homogeneous CV in which all variants location basis a lattice additionally considered when it translated over system. structure statistical sum shown to remain upon moving or lattice. However, cofactors sum, previously corresponded clusters...

We study the problem of distributed training neural networks (NNs) on devices with heterogeneous, limited, and time-varying availability computational resources. present an adaptive, resource-aware, on-device learning mechanism, DISTREAL, which is able to fully efficiently utilize available resources in a manner, increasing convergence speed. This achieved dropout mechanism that dynamically adj...