About
Vedliot
As the Internet of Things (IoT) continues to take shape, promising widespread automation and data exchange, one of the biggest challenges is to act on the data generated. The amount of data collected is huge, the computational power required for processing is high, and the algorithms are complex. The EU-funded VEDLIoT project develops an IoT platform that uses deep learning algorithms distributed throughout the IoT continuum. The proposed new platform with innovative IoT architecture is expected to bring significant benefits to a large number of applications, including industrial robots, self-driving cars, and smart homes. The project offers an Open Call at project midterm, incorporating additional VEDLIoT-related industrial use-cases in the project, increasing the market readiness of the VEDLIoT solutions.
VEDLIOT
Platform
USE
CASES
Industrial
The industrial use case employs DL-based solutions for motor condition monitoring and for arc detection, involving different challenges concerning the usage of DL models. In the former case it is necessary to comply with a ultra-low energy budget, and in the latter it is necessary to ensure a very low false-negative error rate.
Automotive
The automotive use-case focuses on increasing the processing efficiency DL tasks over the resources that are present in the traffic environment. This will be achieved through distribution of the processing tasks over resources such as the ego vehicle, cellular base station(s) in the close proximity, as well as the cloud.
Home
In the home domain, VEDLIoT will consider a virtual mirror application in which it will be necessary to deploy the software and execute DNN models on different kinds of hardware, namely at the edge (t.RECS) and on a specialized embedded platform (µ.RECS).
NEWS
FiBHA: Fixed Budget Hybrid CNN Accelerator (IEEE SBAC-PAD 2022)
A new publication has been accepted in the IEEE 34th International Symposium on Computer Architecture and High Performance Computing, titled FiBHA: Fixed Budget Hybrid CNN Accelerator. This conference is located in Bordeaux, France, from November 2 to 5, 2022....
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone (MIDDLEWARE 2022)
A new publication has been accepted in the 23rd ACM/IFIP International Middleware Conference, titled Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone. This conference is located in Québec City, Québec, Canada, from November 7 to 11,...
Jens Hagemeyer interview for HiPEAC TV
VEDLIoT project coordinator Jens Hagemeyer (UNIBI) was interviewed for HiPEAC TV during HiPEAC 2022 and the recording is now available! Watch the interview here: https://www.youtube.com/watch?v=ACNSBQT6WsM
EVENTS
VEDLIoT’s 3rd Project General Assembly. Lisbon, September 5-7
VEDLIoT partners met this week at the University of Lisbon for a project General Assembly that took place from Monday to Wednesday (Sept. 5-7). Even though all COVID-19 restrictions have been lifted, the meeting was organised in a hybrid model, allowing some members...
VEDLIoT at Embedded World 2022, June 21-23
From 21 to 23 of June, find us at Embedded World 2022, Nuremberg. VEDLIoT will be present with an individual booth - Booth 5-202 (Hall 5, Booth 202) - and will participate in activities planned at the Congatec booth - Booth 5-135 (Hall 5, Booth 135). Come and meet...
VEDLIoT at IoT Week 2022, June 20-22
From 20 to 22 of June, VEDLIoT will be present in IoT Week 2022, Dublin. VEDLIoT will have an individual booth. On the morning of 23 June, and representing the VEDLIoT project, Micha vor dem Berge, from Christmann, will give a 10 minutes presentation at the NG-IoT...