Federated analysis. A specific approach for federated computing where statistical results are computed locally on several distributed SPEs. Federated learning. A specific approach for federated computing where models are trained and validated on distributed of SPEs. Raw data resources are not exchanged between SPEs. Instead, only model updates are communicated thereby enhancing data privacy and security. Due to the difficulty of assessing the anonymity of intermediate outputs, federated learning it is essential that computation and information exchange takes place within a network of trusted SPEs.