Explore the words cloud of the MUSKETEER project. It provides you a very rough idea of what is the project "MUSKETEER" about.
The following table provides information about the project.
Coordinator |
IBM IRELAND LIMITED
Organization address contact info |
Coordinator Country | Ireland [IE] |
Total cost | 4˙380˙346 € |
EC max contribution | 4˙380˙335 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2018-2 |
Funding Scheme | RIA |
Starting year | 2018 |
Duration (year-month-day) | from 2018-12-01 to 2021-11-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | IBM IRELAND LIMITED | IE (Ballsbridge) | coordinator | 830˙900.00 |
2 | IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE | UK (LONDON) | participant | 675˙185.00 |
3 | INTERNATIONAL DATA SPACES EV | DE (BERLIN) | participant | 551˙250.00 |
4 | TREE TECHNOLOGY SA | ES (SIERO) | participant | 462˙500.00 |
5 | ENGINEERING - INGEGNERIA INFORMATICA SPA | IT (ROMA) | participant | 407˙500.00 |
6 | UNIVERSIDAD CARLOS III DE MADRID | ES (GETAFE (MADRID)) | participant | 397˙500.00 |
7 | BIOTRONICS 3D LIMITED | UK (LONDON) | participant | 295˙000.00 |
8 | KATHOLIEKE UNIVERSITEIT LEUVEN | BE (LEUVEN) | participant | 260˙500.00 |
9 | FCA INFORMATION TECHNOLOGY, EXCELLENCE AND METHODS SPA | IT (TORINO) | participant | 217˙500.00 |
10 | COMAU SPA | IT (GRUGLIASCO) | participant | 155˙000.00 |
11 | DIAGNOSTIKON KAI THERAPEFTIKON KENTRON ATHINON YGEIA ANONYMOS ETAIREIA | EL (MAROUSI) | participant | 127˙500.00 |
The massive increase in data collected and stored worldwide calls for new ways to preserve privacy while still allowing data sharing among multiple data owners. Today, the lack of trusted and secure environments for data sharing inhibits data economy while legality, privacy, trustworthiness, data value and confidentiality hamper the free flow of data. By the end of the project, MUSKETEER aims to create a validated, federated, privacy-preserving machine learning platform tested on industrial data that is inter-operable, scalable and efficient enough to be deployed in real use cases. MUSKETEER aims to alleviate data sharing barriers by providing secure, scalable and privacy-preserving analytics over decentralized datasets using machine learning. Data can continue to be stored in different locations with different privacy constraints, but shared securely. The MUSKETEER cross-domain platform will validate progress in the industrial scenarios of smart manufacturing and health. MUSKETEER strives to (1) create machine learning models over a variety of privacy-preserving scenarios, (2) ensure security and robustness against external and internal threats, (3) provide a standardized and extendable architecture, (4) demonstrate and validate in two different industrial scenarios and (5) enhance data economy by boosting sharing across domains. The MUSKETEER impact crosses industrial, scientific, economic and strategic domains. Real-world industry requirements and outcomes are validated in an operational setting. Federated machine learning approaches for data sharing are innovated. Data economy is fostered by creating a rewarding model capable of fairly monetizing datasets according to the real data value. Finally, Europe is positioned as a leader in innovative data sharing technologies.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MUSKETEER" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "MUSKETEER" are provided by the European Opendata Portal: CORDIS opendata.