Hugging Peers

Daniel Odman

☆ Save

2 papers 25 citations h-index 2 2022–2023

VEDLIoT -- Next generation accelerated AIoT systems and applications

Kevin Mika, Rene Griessl, Nils Kucza, Florian Porrmann, Martin Kaiser, Lennart Tigges
+26 more show fewer
Jens Hagemeyer, Pedro Trancoso, Muhammad Waqar Azhar, Fareed Qararyah, Stavroula Zouzoula, James Menetrey, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegard, Olof Eriksson, Hans Salomonsson, Daniel Odman, Andreas Ask, Antonio Casimiro, Alysson Bessani, Tiago Carvalho, Karol Gugala, Piotr Zierhoffer, Grzegorz Latosinski, Marco Tassemeier, Mario Porrmann, Hans-Martin Heyn, Eric Knauss, Yufei Mao, Franz Meierhofer

The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic...

11 citations 2023-05 CF'23: 20th ACM International Conference on Computing Frontiers, May 2023, Bologna, Italy

VEDLIoT: Very Efficient Deep Learning in IoT

Martin Kaiser, Rene Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika
+30 more show fewer
Jens Hagemeyer, Florian Porrmann, Ulrich Ruckert, Micha vor dem Berge, Stefan. Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Quararyah, Stavroula Zouzoula, Antonio Casimiro, Alysson Bessani, Jose Cecilio, Stefan Andersson, Oliver Brunnegard, Olof Eriksson, Roland Weiss, Franz Meierhofer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Odman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, James Menetrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also dealing with safety...

14 citations 2022-07 DATE'22: Proceedings of the 25th Conference & Exhibition on Design, Automation & Test in Europe, March 2022, pp. 963-968