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Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not require centralizin...
近日,中国地质大学机电学院葛明峰教授团队在智能电网领域顶级期刊《IEEE Transactions on Smart Grid》(IF=8.96)上刊发研究成果—Distributed CPS-based Secondary Control of Microgrids with Optimal Power Allocation and Limited Communication。该文针对受限的通信...
Distributed Ledgers (DLs) have emerged as a novel way to manage and exchange different types of digital assets among a large number of agents operating in a decentralised way. Existing DL platforms ar...
Consider the revenue-maximizing problem in which a single seller wants to sell k different items to a single buyer, who has indepen-dently distributed values for the items with additive valuation. The...
Rendezvous process is the cornerstone to construct Cogni-tive Radio Networks (CRNs), through which a secondary user can establish a link for communication with its neigh-bor on a common channel. Altho...
Today with the fast advancement of spatial data acquisition ability, the update circle of data becomes shorter and shorter and the volume of spatial data increases more and more, and distributed stora...
An information theoretic formulation of distributed averaging is presented. We assume a network with m nodes each observing an i.i.d, source; the nodes communicate and perform local processing with th...
This paper considers a multiple-access channel with two state components, where the first sender knows only the first state component, the second sender knows only the second component, and the receiv...
Distributed Lossy Averaging     Distributed  Lossy Averaging       2015/8/12
An information theoretic form ulation of distributed averaging is presented. We assume a network with m nodes each observing an i.i.d, source; the nodes communicate and perform local processing with t...
We consider the problem of finding a linear iteration that yields distributed averaging consensus over a network, i.e., that asymptotically computes the average of some initial values given at the nod...
We consider a class of weighted gradient methods for distributed resource allocation over a network. Each node of the network is associated with a local variable and a convex cost function; the sum of...
An ad hoc sensor network of nodes with wireless transceiver capabilities is considered. We propose distributed algorithms to compute an optimal routing scheme that maximizes the time at which the firs...
We consider the problem of finding an optimal feedback controller for a network of interconnected subsystems, each of which is a Markov decision process. Each subsystem is coupled to its neighbors via...
The interconnection of distributed resources requires specific voltage regulation, monitoring, protective relaying, power quality, and islanding detection. For this reason IEEE established standard IE...

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