How can Stata enable federated computing for decentralized data analysis?
Narasimha Raghavan
Additional contact information
Narasimha Raghavan: Cancer Registry of Norway–Norwegian Institute of Public Health
Northern European Stata Conference 2024 from Stata Users Group
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.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://repec.org/neur2024/Northern_Europe24_Raghavan.pdf presentation materials (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:neur24:11
Access Statistics for this paper
More papers in Northern European Stata Conference 2024 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().