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How can Stata enable federated computing for decentralized data analysis?

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  • Narasimha Raghavan

    (Cancer Registry of Norway–Norwegian Institute of Public Health)

Abstract

Federated computing offers a transformative approach to data analysis, enabling the processing of distributed datasets without the need for centralization, thus aiming to preserve privacy and security. In this talk, I will explore how these principles can be applied within the Stata environment to address the growing challenges of data sharing and computational limits. I will highlight the current features in Stata that make federated computing possible and the challenges and future directions, setting the stage for innovation in decentralized data analysis. By integrating federated computing with Stata, researchers can perform complex analyses on sensitive, geographically dispersed data while maintaining the software's robust statistical capabilities.

Suggested Citation

  • Narasimha Raghavan, "undated". "How can Stata enable federated computing for decentralized data analysis?," Northern European Stata Conference 2024 11, Stata Users Group.
    • Handle: RePEc:boc:neur24:11
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    File URL: http://repec.org/neur2024/Northern_Europe24_Raghavan.pdf
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