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: URS-12

Official URL: https://flute.com/Requirements/URS-12 Version: 0.1.0
Draft as of 2023-10-25 Computable Name: URS_12

Copyright/Legal: HL7 Europe

ID: URS-12

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

The exchange of data between data owner nodes and central aggregator should follow the principle of data minimization. Only sharing the necessary data to be able to train models effectively.

Purpose:

Defining the security and privacy requirements for users and stakeholders of the FLUTE platform, which are derived from the threat models and identified attacks within FLUTE.

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


Statements:

ID: URS-12

Label: The exchange of data between data owner nodes and central aggregator SHOULD follow the principle of data minimization. Only sharing the necessary data to be able to train models effectively.

Sources:

  • HL7 Europe
Conformance Requirement
SHOULD

follow the principle of data minimization