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VEDLIoT: Very Efficient Deep Learning in IoT. (arXiv:2207.00675v1 [cs.AR])
July 5, 2022, 1:20 a.m. | Martin Kaiser, Rene Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor
cs.CR updates on arXiv.org arxiv.org
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 and security challenges. The approach
is based on a modular and scalable cognitive IoT hardware platform. Using
modular microserver technology enables the user to configure the hardware to
satisfy a wide range of applications. VEDLIoT offers a complete design flow for
Next-Generation IoT devices required for collaboratively solving complex Deep
Learning applications across …
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