The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.BACKGROUND
 This study aimed to address this gap and make FL available to everyone by developing FeatureCloud, an all-in-one platform for FL in biomedicine and beyond.


 The FeatureCloud platform consists of 3 main components: a global frontend, a global backend, and a local controller.  FeatureCloud removes the complexity of distributed systems for developers and end users by providing a comprehensive platform for executing multi-institutional FL analyses and implementing FL algorithms.  To secure sensitive raw data, FeatureCloud supports privacy-enhancing technologies to secure the shared local models and assures high standards in data privacy to comply with the strict General Data Protection Regulation.  Our evaluation shows that applications developed in FeatureCloud can produce highly similar results compared with centralized approaches and scale well for an increasing number of participating sites.


 FeatureCloud provides a ready-to-use platform that integrates the development and execution of FL algorithms while reducing the complexity to a minimum and removing the hurdles of federated infrastructure. 
FeatureCloud
Our platform uses a Docker to separate the local acting components of the platform from the sensitive data systems. 
Docker