Sentence examples for data decentralized from inspiring English sources

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To address these issues and to help users regain the control over their data, decentralized OSNs (DOSNs) have lately been introduced as a competitive paradigm to provider-controlled, centralized OSNs.

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We expected pseudo-independent central monitoring to produce higher-quality data than decentralized monitoring, and a decentralized monitoring regime to produce higher-quality data than no monitoring.

The goal, ultimately, is to have the data be decentralized and any user should be able to remove his or her data.

We additionally aim at extending our prototype implementation and evaluate the DPMP throughout further practical use cases considering contextual data from decentralized applications.

MAS can be traditionally characterized by the facts that (a) each agent has incomplete information and/or capabilities for solving a problem, (b) agents are autonomous, so there is no global system control; (c) data are decentralized; and (d) computation is asynchronous [89].

CATMAID combines three main components: a centralized data server, decentralized image servers and the client-side user interface (Fig. 1A).

Blockchain has the following characteristics: a distributed ledger, decentralized data management, data security, transparency and integrity, anti-tampering and anti-forgery, high efficiency, low cost, and no risk of a centralized database failure.

Trust issues become particularly important when data processing is decentralized across geographically dispersed data centres and resources are distributed beyond a definable and controllable perimeter, which is especially true in the Cloud computing scenario.

Finally, citizens can contribute their computational resources to acquire the role of a data aggregator in order to participate in a fully decentralized data analytics process [38 40].

Some of this is likely repetitive work, because the process at many companies is decentralized data scientists or engineers often manipulate data with local scripts or Jupyter Notebooks.

Further, recent work is more focused on data-centric storage [1 3, 5], where the data is stored decentralized by attributes and types.

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