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Published in 2018 at "SoftwareX"
DOI: 10.1016/j.softx.2018.04.004
Abstract: Abstract Data streams are pervasive but implementing online analysis of streaming data is often nontrivial as data streams can have different, domain-specific formats. Regardless of the stream, the analysis task is essentially the same: features…
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Keywords:
data streams;
midas open;
online analysis;
distributed online ... See more keywords
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Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3152938
Abstract: In this paper, a new discrete-time data-driven distributed learning control strategy for frequency/voltage regulation and active/reactive power sharing of islanded microgrids is proposed. Instead of using the static droop relationship and the conventional primary-secondary hierarchical…
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Keywords:
data driven;
islanded microgrids;
distributed online;
learning control ... See more keywords
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Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2957158
Abstract: In this article, a hierarchical online distributed algorithm (HODA) is developed to achieve optimal energy management in interconnected microgrids (IMG). The energy management objectives include maximizing users’ utility, optimizing the output power of controllable generators,…
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Keywords:
management interconnected;
distributed online;
energy;
interconnected microgrids ... See more keywords
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Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3075770
Abstract: Content caching is widely recognized a promising functionality to improve service performance in mobile edge computing (MEC). In the big data era, there are massive heterogeneous contents collected by the mobile devices, belonging to different…
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Keywords:
aware distributed;
content caching;
distributed online;
edge computing ... See more keywords
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Published in 2017 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2015.2505149
Abstract: This paper introduces a class of discrete-time distributed online optimization algorithms, with a group of agents whose communication topology is given by a uniformly strongly connected sequence of time-varying networks. At each time, a private…
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Keywords:
convex optimization;
distributed online;
time varying;
time ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2973221
Abstract: This article investigates the problem of distributed online optimization for a group of units communicating on time-varying unbalanced directed networks. The main target of the set of units is to cooperatively minimize the sum of…
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Keywords:
optimization;
distributed online;
online optimization;
stochastic subgradient ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184957
Abstract: We investigate multiagent distributed online constrained convex optimization problems with feedback delays, where agents make sequential decisions before being aware of the cost and constraint functions. The main purpose of the distributed online constrained convex…
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Keywords:
problem;
feedback delays;
distributed online;
online constrained ... See more keywords
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Published in 2018 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2018.2797806
Abstract: We consider a private distributed online optimization problem where a set of agents aim to minimize the sum of locally convex cost functions while each desires that the local cost function of individual agent is…
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Keywords:
directed networks;
private distributed;
distributed online;
time varying ... See more keywords