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Packageflute.requirements
Resource TypeRequirements
IdRequirements-URS-2.json
FHIR VersionR5
Sourcehttps://build.fhir.org/ig/hl7-eu/flute-requirements/Requirements-URS-2.html
URLhttps://flute.com/Requirements/URS-2
Version0.1.0
Statusdraft
Date2023-10-25T10:31:30.239Z
NameURS_2
TitleURS-2
Authorityhl7
DescriptionCentral aggregation of models should not leak any information of the data used to train local models.
PurposeDefining 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.
CopyrightHL7 Europe
Copyright LabelFederated Learning and mUlti-party computation Techniques for prostatE cancer

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Narrative

Note: links and images are rebased to the (stated) source

ID: URS-2

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

Central aggregation of models should not leak any information of the data used to train local models.

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-2

Label: Central aggregation of models should not leak any information of the data used to train local models.

Sources:

  • HL7 Europe
Conformance Requirement
SHOULD

not leak any information of the data used to train local models

Source1

{
  "resourceType": "Requirements",
  "id": "URS-2",
  "text": {
    "status": "extensions",
    "div": "<!-- snip (see above) -->"
  },
  "url": "https://flute.com/Requirements/URS-2",
  "version": "0.1.0",
  "name": "URS_2",
  "title": "URS-2",
  "status": "draft",
  "date": "2023-10-25T10:31:30.239Z",
  "publisher": "HL7 Europe",
  "contact": [
    {
      "name": "HL7 Europe",
      "telecom": [
        {
          "system": "url",
          "value": "https://www.hl7.eu"
        }
      ]
    }
  ],
  "description": "Central aggregation of models should not leak any information of the data used to train local models.",
  "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": "HL7 Europe",
  "copyrightLabel": "Federated Learning and mUlti-party computation Techniques for prostatE cancer",
  "statement": [
    {
      "key": "URS-2",
      "label": "Central aggregation of models should not leak any information of the data used to train local models.",
      "conformance": [
        "SHOULD"
      ],
      "requirement": "not leak any information of the data used to train local models",
      "source": [
        {
          "display": "HL7 Europe"
        }
      ]
    }
  ]
}