Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
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
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 |
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HL7 Europe |
Local training algorithms should be run in the data owner infrastructure.
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.
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