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In this talk, we will consider the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochasti...
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...
Parameter estimation or filtering is one of the important issues in diverse fields including statistical learning, signal processing, system identification and adaptive control. With the development o...
In distributed storage systems, erasure codes are deployed to ensure system reliability with low storage overhead. Minimum storage cooperative regenerating codes are a class of erasure codes that prov...
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...
Distributing applications and service applications among cloud systems offer many potential benefits. However, implementing robust, efficient, and flexible distributed applications is more complex tha...
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluat...
In the past century, ~30 y have been added to human life expectancy. The result is a globally aging population that, although rich in opportunities, also presents important challenges. Governments, ag...
The annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2017) will take place in Ottawa, Ontario, Canada. The conference is intended to cover several aspects of distribu...
with the support of the IEEE Computer Society Technical Committee on Parallel Processing.Parallel and Distributed Computing (PDC) is nowadays omnipresent. It is in all the computational environments, ...
The Earth observation (EO) missions of the space agencies and space industry (ESA, NASA, national and commercial companies) are evolving as never before. These missions aim to develop and launch next-...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Improving the energy efficiency and sustainability of large-scale distributed systems (e.g. data centres and Clouds) is a key challenge for both academic and industrial organizations. After the succes...
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...

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