Results

Within EU-funded Horizon 2020 projects, ‘Deliverables’ are “outputs that must be produced at a given moment” during the project. This includes, for example, detailed information on the scientific progress of a specific task, a research manuscript, a special report, a technical diagram, a brochure, a software, or another important “building block”. As soon as such a deliverable has been completed, a detailed deliverable report is required to be submitted to and checked by the European Commission (EC). FeatureCloud dissemination items are openly available for download here. In addition, feel free to view the PDF files of our public deliverable reports below:

WP2 – Cyber risk assessment and mitigation

Deliverable Report D2.1 – Risk assessment methodology (1.29 MB)
Deliverable Report D2.2 – KPIs and metrics for local execution platforms (565 KB)
Deliverable Report D2.3 – Working PAML-Layer with low distortion (772 KB)
Deliverable Report D2.4 – Set of (novel) attack vectors and countermeasures (1 MB) 

WP3 – Guidelines, standardization, and certification

Deliverable Report D3.2 – Manuscript on Quality management process (784 KB)
Deliverable Report D3.4 – Manuscript on Lifecycle process (820 KB)
Deliverable Report D3.6 – Manuscript on Risk management process (809 KB)
Deliverable Report D3.8 – Manuscript on Usability Process (930 kb)

WP4 – Supervised Federated Machine Learning

Deliverable Report D4.1 – Survey on graph parallelism (1.2 MB)
Deliverable Report D4.2 – Test report on different graph types (1.2 MB)
Deliverable Report D4.3 – Test report on different classifier ensembles (1.87 MB)
Deliverable Report D4.4 – Experimental results for shape and composition of connection surfaces (1.8 MB)
Deliverable Report D4.5 – Framework for Local Sphere privacy-aware federated learning on graphs (540 KB)
Deliverable Report D4.6 – End-user centred explanatory interfaces for the human-in-the-loop (415 KB)
Deliverable Report D4.7 – Integrated evaluation results for classifier ensembles in a federated approach (1 MB)
Deliverable Report D4.8 – Explanation strategies, i.e. post-hoc vs. ante-hoc approaches (1 MB)

WP5 – Unsupervised Federated Machine Learning

Deliverable Report D5.1 – Entire Federated Clustering pipeline software available for download (756 KB)
Deliverable Report D5.2 – Implementation and Integration of Layman-friendly interfaces (825 KB)
Deliverable Report D5.3 – Federated multi-OMICS system-medicine-based clustering software available for download (1 MB)

WP6 – Blockchains and user right management

Deliverable Report D6.1 – Local blockchain mechanism (1.8 MB)
Deliverable Report D6.2 – Model for defining user rights in federated machine learning (712 KB)
Deliverable Report D6.3 – Selected smart contract mechanism featuring user rights management (500 KB)
Deliverable Report D6.4 – Prototypical implementation of phase 2 and evaluation results (2 MB)
Deliverable Report D6.5 – Mechanisms for removing sensitive information from the blockchain (770 KB)

WP7 – Integrated FeatureCloud health informatics platform and appstore

Deliverable Report D7.2 – App store ready and extendible by developers (1.9 MB)
Deliverable Report D7.3 – Federated machine learning apps running in app store (1 MB)
Deliverable Report D7.4 – User interfaces usable for patients, project managers, and developers (2.3 MB)
Deliverable Report D7.5 – Project manager & patients can control access rights with integrated blockchain (1 MB)
Deliverable Report D7.6 – Evaluation of federated vs. non-federated machine learning (2 MB)

WP8 – Testing and evaluation in clinical translation

Deliverable Report D8.1 – Report on performance benchmarks (776 KB)
Deliverable Report D8.5 – Feedback on public data performance (2 MB)

WP9 – Dissemination, Training and Exploitation

Deliverable Report D9.2 – Go-online of the public website (657 KB)
Deliverable Report D9.4 – Project leaflet for clinical staff (506 KB)
Deliverable Report D9.5 – Project leaflet for patients (527 KB)
Deliverable Report D9.7 – Video explaining the FeatureCloud Platform (944 KB)