11 citations · 11 across the 1 of their papers we have counts for
2 papers
cs.CY2020
The Future of Digital Health with Federated Learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern…
cs.CR2019★ 11 cited
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning
Mathieu N Galtier, Camille Marini
Machine learning is promising, but it often needs to process vast amounts of sensitive data which raises concerns about privacy. In this white-paper, we introduce Substra, a distri…