Federated machine learning is now an established technique; however the distributed computation of genome-specific
algorithms (e.g. differential gene expression, polygenetic risk scores (PRS), genome-wide association studies (GWAS), etc) is considerably less advanced. In NextGen we develop new federated implementations for genomic analysis where none currently exist and extend new and existing methods (e.g. PRS) to privacy-preserving federated setting such as secure multiparty computation.