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"VEDLIoT: Very Efficient Deep Learning in IoT."

Martin Kaiser et al. (2022)

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DOI: 10.48550/ARXIV.2207.00675

access: open

type: Informal or Other Publication

metadata version: 2024-02-06

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  - journals/corr/abs-2207-00675
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  - https://dblp.org/rec/journals/corr/abs-2207-00675
Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. CoRR abs/2207.00675 (2022)

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