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It is a challenge to derive a distributed solution to latency-minimizing data aggregation under the physical interference model because of the simple fact that global-scale information to compute the cumulative interference is needed at any node.
In Section 5, we devise a distributed solution to the model.
Furthermore, we developed a distributed solution to energy-efficient multicell beamforming in [16].
In Section 5, we will devise a distributed solution to the above-mentioned optimization problem.
We have also proposed a distributed solution to be solved by each user and the BSs with just local information.
Again, we are interested in a distributed solution to (13), whereby each bee would only need to share information with its immediate (local) neighbors.
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This approximation defines an optimal distributed solution to the frequency-varying data set, where their fundamental properties are based on the interpretation of pre-selected frequencies contained into the eigenvectors of a cross-spectrum matrix.
In this paper we have proposed, to the best of our knowledge, the first distributed solution to a major security threat in MANETs: the node capture attack.
In a case study, it is shown that a distributed solution is able to improve service availability significantly and to avoid large-scale outages.
The rate optimization over the interference channel requires two major issues to be coped with: first, ensure the system convergence to the desired point, that can be achieved using an auction utility function; second, a distributed solution is necessary to achieve the equilibrium, such as the proposed regret-matching algorithm.
Manage enormous volumes of data using scalable, distributed solutions to secure data stores and enable efficient audits and data provenance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com