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  • System set up: Multi Provider Site Version: Central instance for data user to select data sets and algorithms -> submission communicated to all relevant data providers
  • Data management: means (simple protocol) to communicate the data available from sites to central instance; Central instance merges all information and displays is.
  • Execution/Output: support of federated workflows (I guess most important federated learning e.g. run a pysyft workflow like Klaus/Max want conduct).
  • Executor: Separation - User workflows are running separately from system flow (-> e.g. running a user workload does not alter system flow…)
  • Authentication: DKFZ AD -> Helmholtz AAI