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-PIL-22

Official URL: https://flute.com/Requirements/F-PIL-22 Version: 0.1.0
Draft as of 2023-10-25 Computable Name: F_PIL_22

Copyright/Legal: HL7 Europe

ID: F-PIL-22

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

Platform shall ensure that the training data remains on the federated node and any processing, analysis and AI training is performed there. Data User shall not see, directly access or download the data, i.e. the AI model shall only be trained in the local node.

Purpose:

FLUTE specific requirements for FLUTE pilot studies and the platform are outlined based on discussions with stakeholders participating in the case studies, in particular representatives of technical partners participating in WP5 (Quibim) and medical researchers from the three participating hospitals CHUL, IRST and VHIR, which also act as data owners.

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

Actor for these requirements: FLUTE Platform


Statements:

ID: F-PIL-22a

Label: As a FLUTE platform, I SHALL ensure that the training data remains on the federated node and any processing, analysis and AI training is performed there.

Sources:

  • HL7 Europe
Conformance Requirement
SHALL

ensure that the training data remains on the federated node and any processing, analysis and AI training is performed there

ID: F-PIL-22b

Label: Data User SHALL not see, directly access or download the data, i.e. the AI model shall only be trained in the local node.

Sources:

  • HL7 Europe
Conformance Requirement
SHALL

not see, directly access or download the data, i.e. the AI model shall only be trained in the local node