OwkinBlog

In parts 1 and 2 of our article series, we looked at how Federated Learning protects data privacy and enables a new form of collaboration between competitors, called ‘coopetition’. It allows partners to train machine learning (ML) models on proprietary datasets and benefit from collective insights, without actually revealing or moving data from their servers. …

Continue reading “Federated Learning in healthcare – Building trust through traceability”