A federated platform enables multiple entities to collaboratively build trustworthy AI based analysis and prediction models, based on heterogeneous clinical and patient data, without compromising data privacy. The platform is composed of a modular interface to instantiate FL processes and a network infrastructure that supports advanced security methods, a parameter server designed against security attacks (data poisoning and model inversion).