Paul Robert Burton

The paper introduces dsMTL, a framework for privacy-preserving, distributed multi-task machine learning, and evaluates its performance in identifying biological signatures across distributed datasets.

The paper introduces dsSurvival, a tool for privacy-preserving survival analysis in federated settings, enabling meta-analysis of Cox regression models without sharing individual data.