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Henrik Zunker

As seen in: Nature, medRxiv
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Articles

Differentially private federated learning for localized control of infectious disease dynamics

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By Raouf Kerkouche, Henrik Zunker, Mario Fritz, Martin Kuhn
| Nature Verified
Abstract In times of epidemics, swift reaction is necessary to mitigate epidemic spreading. For this reaction, localized approaches have several advantages, limiting necessary resources and reducing the impact of interventions on a larger scale. However, training a separate machine learning (ML) model on a local scale is often not feasible due to limited available data. Centralizing the data is also challenging because of its high sensitivity and privacy constraints.
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Novel travel time aware metapopulation models: A combination with multi-layer waning immunity to assess late-phase epidemic and endemic scenarios

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By Henrik Zunker, Rene Schmieding, David Kerkmann, Alain Schengen
| medRxiv
The authors have declared no competing interest. The authors HZ, RS, AS, and MJK have received funding by the German Federal Ministry for Digital and Transport under grant agreement FKZ19F2211A, RS has received funding by the German Federal Ministry for Digital and Transport under grant agreement FKZ19F2211B. HZ, DK, MMH, and MJK have received funding from the Initiative and Networking Fund of the Helmholtz Association (grant agreement number KA1-Co-08).
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