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. 2019 Aug 14;21(8):e13600. doi: 10.2196/13600

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©Michael Jones, Matthew Johnson, Mark Shervey, Joel T Dudley, Noah Zimmerman. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.08.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Distributing trust among multiple parties with multiparty computation. In one type of multiparty computation, private data can be decomposed into secret shares and stored on several computing nodes; reconstruction of the private data is only possible with all (or a majority) of the secret shares. As shown in the figure, this alleviates the issue with secure storage of the data but does not secure the data once it is reconstructed. Trust is still required when reconstructing a single participant's private data and is highlighted in gray.