Project MELLODDY Meets Its Year One Objective

Today, we are excited that project MELLODDY (Machine Learning Ledger Orchestration for Drug Discovery) has met its year one objective - the deployment of the world’s first secure platform for multi-task federated learning in drug discovery. After a very intense year of collaborative effort, the platform is fully functional, audited, and tested at scale and has successfully trained a unique predictive model across ten pharma companies. What makes us particularly proud is the fact that our Kubermatic Kubernetes Platform was used to build the scalable infrastructure for each pharmaceutical partner.


This is a companion discussion topic for the original entry at https://www.kubermatic.com/blog/project-melloddy-meets-its-year-one-objective/