Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
Funded by the European Union

Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer, published by HL7 Europe. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-eu/flute-requirements/ and changes regularly. See the Directory of published versions

Requirements: F-SRS-5

Official URL: https://flute.com/Requirements/F-SRS-5 Version: 0.1.0
Draft as of 2023-10-25 Computable Name: F-SRS-5

Copyright/Legal: HL7 Europe

ID: F-SRS-5
Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe
Description:

Local training algorithms should be run in the data owner infrastructure.


Purpose:

Defining the system security and privacy requirements that will be used as input for D1.2 and a technical description of the FLUTE components necessary to meet these requirements.


Copyright Label: Federated Learning and mUlti-party computation Techniques for prostatE cancer



Statements:
ID: F-SRS-5
Label: Local training algorithms SHOULD be run in the data owner infrastructure.
Sources:
  • HL7 Europe
Conformance Requirement
SHOULD

be run in the data owner infrastructure