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-HUF-14

Official URL: https://flute.com/Requirements/F-HUF-14 Version: 0.1.0
Draft as of 2023-10-25 Computable Name: F_HUF_14

Copyright/Legal: HL7 Europe

ID: F-HUF-14

Publisher: HL7 Europe

Contact Name Contact Points
HL7 Europe

Description:

Support for at least one effective federated synthetic data generator learner (GAN, VAE, or DiffMod).

Purpose:

Dimensions and Requirements collection for the Human interface and user-facing features.

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

Actor for these requirements: FLUTE Platform


Statements:

ID: F-HUF-14

Label: As a FLUTE platform, I SHOULD support at least one effective federated synthetic data generator learner (GAN, VAE, or DiffMod).

Sources:

  • HL7 Europe
Conformance Requirement
SHOULD

support at least one effective federated synthetic data generator learner (GAN, VAE, or DiffMod)