Simplifying Multiparty Computation: A Client-Driven Metaprotocol for Federated Secure Computing

We evaluate the performance of the client-driven metaprotocol against a baseline iterative approach. Our evaluation demonstrates performance improvements compared to traditional iterative approaches, making this metaprotocol a valuable tool for advancing secure and efficient collaborative healthcare research.

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Publication Details

Journal
Studies in health technology and informatics
Published
2024-08-30
DOI
https://doi.org/10.3233/shti240863
Citations
2
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
1.57

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article

Simplifying Multiparty Computation: A Client-Driven Metaprotocol for Federated Secure Computing

Johanna Schwinn, Ludwig Christian Hinske, Hendrik Ballhausen, Seyedmostafa Sheikhalishahi et al.
2 citations
Studies in health technology and informatics
Privacy-Preserving Technologies in Data
1.57
article

Simplifying Multiparty Computation: A Client-Driven Metaprotocol for Federated Secure Computing

Johanna Schwinn, Ludwig Christian Hinske, Hendrik Ballhausen, Seyedmostafa Sheikhalishahi, Mathias Kaspar, Matthaeus Morhart
article en
2 citations

Abstract

We evaluate the performance of the client-driven metaprotocol against a baseline iterative approach. Our evaluation demonstrates performance improvements compared to traditional iterative approaches, making this metaprotocol a valuable tool for advancing secure and efficient collaborative healthcare research.

Studies in health technology and informaticsVol. 317
University Hospital Augsburg (DE), LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE)
Bundesministerium für Bildung und Forschung
Partnerships for the goals
Openalex Percentile: Top 16%
Privacy-Preserving Technologies in Data
1.57
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