ECSEL 2020 RIA Distributed Artificial Intelligent Systems
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB |
| Funding from Vinnova | SEK 20 292 353 |
| Project duration | May 2021 - February 2025 |
| Status | Ongoing |
| Venture | ECSEL |
Important results from the project
DAIS successfully met its planned objectives and delivered noteworthy additional results. A federated learning framework, incorporating innovative privacy-preserving and communication optimization techniques, was effectively applied to DAIS industrial use cases. Significant improvements were made in the fatigue detection use case. A scalable AI module enhanced smart environment capabilities. An edge cloud optimization technique was refined for large-scale IoT sensor integration.
Expected long term effects
Long term, DAIS’s results are expected to spark further research, accelerate industry adoption, and strengthen Sweden’s technological competence. The secure, efficient Distributed AI frameworks and enhanced product capabilities—such as an improved smart platform and optimized edge-cloud solutions—have broadened industry insights and opened new commercial avenues in Europe. These outcomes will drive business growth and foster future collaborations.
Approach and implementation
The project followed a structured approach, with five technical WPs integrating technology development and demonstrators, organized through eight thematic supply chains (divided into enabling technology and applications), facilitating effective collaboration and clear responsibilities. Despite some challenges like Covid, necessitating an extension of the project duration, the project was successfully implemented, driving innovation and fostering strong teamwork among all partners.