Papers for

healthcare data managers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Privacy-preserving analytics improved with identity verification methods

On the Usage of Verifiable Credentials in Privacy-Preserving Federated Analytics

Abstract: Privacy-Preserving Federated Analytics enables multiple nodes to collaboratively derive statistical insights without exchanging raw data. However, ensuring node authenticity and data validation (avoiding concerns such as identity tracking, data linkage, or data leakage) remain fundamental challenges. This paper offers some insights into the feasibility of defining an authenticated, integrity-preserving data model by coupling FPPA with Verifiable Credentials defined within the Self-Sovereign Identity framework.

Sat 26 SeptCryptography and SecurityEmerging Technologies
The gist
Sometimes, many computers want to work together to learn things from their combined data without sharing the actual data. This can be tricky when you want to make sure who is sending data and that the data is correct, without risking privacy or leaks. The authors looked at whether using special digital ID cards, called Verifiable Credentials, can help prove identities and keep data intact during this process. They connect these ID cards with a method called Federated Privacy-Preserving Analytics to see if it all works safely and reliably.
Open → 2609.33004v1