Very Efficient Deep Learning in IOT (VEDLIoT)
Research Project, 2020
– 2023
Teaching the IoT to learn.
VEDLIoT offers a platform, the Cognitive IoT platform, leveraging European technology, which can be easily configured to be placed at any level of the compute continuum starting from the sensor nodes and then edge to cloud. Driven by use cases in the key sectors of automotive, industrial, and smart homes, the platform is supported by cross-cutting aspects satisfying security and robustness. Overall, VEDLIoT offers a framework for the Next Generation Internet based on IoT devices required for collaboratively solving complex DL applications across a distributed system.
Participants
Pedro Petersen Moura Trancoso (contact)
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Hans-Martin Heyn
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Eric Knauss
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Miquel Pericas
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Collaborations
ANTMICRO Ltd
Poznan, Poland
Bielefeld University
Bielefeld, Germany
Christmann Informationstechnik + Medien
Ilsede, Germany
EmbeDL AB
Göteborg, Sweden
FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências
Lisbon, Portugal
Osnabrück University
Osnabruck, Germany
RISE Research Institutes of Sweden
Göteborg, Sweden
Siemens
Munich, Germany
University of Gothenburg
Gothenburg, Sweden
University of Neuchatel
Neuchâtel, Switzerland
Veoneer
Stockholm, Sweden
Funding
European Commission (EC)
Project ID: EC/H2020/957197
Funding Chalmers participation during 2020–2023