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
Table 7: Human interface and user-facing features - functional requirements
ID | Description | Priority | Category |
---|---|---|---|
F-HUF-1 | Researcher node has jupyterlab interface | High | user interface |
F-HUF-2 | Researcher node offers all features provided by TRUMPET researcher node | Medium | algorithm |
F-HUF-3 | Support for federated Logistic Regression (LR) | High | algorithm |
F-HUF-4 | Support for federated Decision Trees (DT) | High | algorithm |
F-HUF-5 | Support for federated Random Forests (RF) | Medium | algorithm |
F-HUF-6 | Support for federated Support Vector Machines (SVM) | Low | algorithm |
F-HUF-7 | Support for federated Deep Neural Networks (DNN) | High | algorithm |
F-HUF-8 | Support for federated Convolutional Neural Networks (CNN) | Medium | algorithm |
F-HUF-9 | Support for federated Bayesian Optimization | Medium | algorithm |
F-HUF-10 | Support for federated Grid Optimization | High | algorithm |
F-HUF-11 | Support for federated Generative Adversarial Networks (GAN) | Medium | algorithm |
F-HUF-12 | Support for federated Variational auto-encoders (VAE) | Medium | algorithm |
F-HUF-13 | Support for federated Diffusion models | Medium | algorithm |
F-HUF-14 | Support for at least one effective federated synthetic data generator learner (GAN, VAE, or DiffMod) | High | algorithm |
F-HUF-15 | Support for multi-model synthetic health data (both tabular & image) | High | algorithm |
F-HUF-16 | Synthetic data generation module should allow for specifying what data (images, tabular …) should be generated | High | user interface |
F-HUF-17 | Synthetic data generation module should allow for specifying population subsets, e.g., only with cancer | High | user interface |
F-HUF-18 | Generation of synthetic 3D MRI images | High | algorithm |
F-HUF-19 | Data owner node has functional interface with local data owner database | High | integration |
F-HUF-20 | Data owner node has user interface for data owner users | High | user interface |
F-HUF-21 | Data owner node has server interfacing with other nodes | High | integration |
Table 8: Human interface and user-facing features - non-functional requirements
ID | Description | Priority | Category |
---|---|---|---|
NF-HUF-1 | All output preserves privacy | High | privacy |
NF-HUF-2 | All algorithm implementations should follow the platform guidelines (adopted & revised from TRUMPET), e.g., on privacy/security parameters | High | privacy |