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

Publications

More information

Project Web Page

https://vedliot.eu/

Latest update

9/20/2023