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Published in 2022 at "Network Science"
DOI: 10.1017/nws.2022.25
Abstract: Abstract This article considers the link removal problem in a strongly connected directed network with the goal of minimizing the dominant eigenvalue of the network’s adjacency matrix while maintaining its strong connectivity. Due to the…
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Keywords:
distributed algorithms;
network;
connectivity;
link removal ... See more keywords
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Published in 2017 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2015.2489318
Abstract: When a distributed algorithm must be executed by strategic agents with misaligned interests, a social leader needs to introduce an appropriate tax/subsidy mechanism to incentivize agents to faithfully implement the intended algorithm so that a…
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Keywords:
control;
implementations distributed;
algorithms control;
control laws ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3085400
Abstract: Distributed algorithms are gaining increasing research interests in the area of power system optimization and dispatch. Existing distributed power dispatch algorithms (DPDAs) usually assume that suppliers/consumers bid truthfully. However, this article shows the need for…
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Keywords:
power dispatch;
distributed algorithms;
strategic players;
power ... See more keywords
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Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3200466
Abstract: The strong connectivity of a directed graph associated with the communication network topology is crucial in ensuring the convergence of many distributed estimation/control/optimization algorithms. However, the assumption on the network's strong connectivity may not always…
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Keywords:
topology;
network;
strong connectivity;
connectivity directed ... See more keywords
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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3144376
Abstract: Novel networks infrastructures raising with 5G technologies are pushing for the distribution of computing and network resource control to meet stringent requirements in terms of latency and reliability and speed. 5G systems bring a key…
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Keywords:
distributed algorithms;
multi resource;
resource;
resource allocation ... See more keywords
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Published in 2020 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2020.3010613
Abstract: The recovery of missing samples from available noisy measurements is a fundamental problem in signal processing. This process is also sometimes known as graph signal inpainting, reconstruction, forecasting or inference. Many of the existing algorithms…
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Keywords:
recovery;
time varying;
recovery time;
topology ... See more keywords