VEDLIoT: Very Efficient Deep Learning in IoT

VEDLIoT: Very Efficient Deep Learning in IoT. Kaiser, M., Griessl, R., Kucza, N., Haumann, C., Tigges, L., Mika, K., Hagemeyer, J., Porrmann, F., Rückert, U., vor dem Berge, M., Krupop, S., Porrmann, M., Tassemeier, M., Trancoso, P., Qararyah, F., Zouzoula, S., Casimiro, A., Bessani, A., Cecílio, J., Andersson, S., Brunnegård, O., Eriksson, O., Weiss, R., Meierhöfer, F., Salomonsson, H., Malekzadeh, E., Ödman, D., Khurshid, A., Felber, P., Pasin, M., Schiavoni, V., Ménétrey, J., Gugula, K., Zierhoffer, P., Knauss, E., & Heyn, H. CoRR, 2022.

Paper doi bibtex

@article{DBLP:journals/corr/abs-2207-00675,
  author       = {Martin Kaiser and
                  Ren{\'{e}} Griessl and
                  Nils Kucza and
                  Carola Haumann and
                  Lennart Tigges and
                  Kevin Mika and
                  Jens Hagemeyer and
                  Florian Porrmann and
                  Ulrich R{\"{u}}ckert and
                  Micha vor dem Berge and
                  Stefan Krupop and
                  Mario Porrmann and
                  Marco Tassemeier and
                  Pedro Trancoso and
                  Fareed Qararyah and
                  Stavroula Zouzoula and
                  Ant{\'{o}}nio Casimiro and
                  Alysson Bessani and
                  Jos{\'{e}} Cec{\'{\i}}lio and
                  Stefan Andersson and
                  Oliver Brunneg{\aa}rd and
                  Olof Eriksson and
                  Roland Weiss and
                  Franz Meierh{\"{o}}fer and
                  Hans Salomonsson and
                  Elaheh Malekzadeh and
                  Daniel {\"{O}}dman and
                  Anum Khurshid and
                  Pascal Felber and
                  Marcelo Pasin and
                  Valerio Schiavoni and
                  J{\"{a}}mes M{\'{e}}n{\'{e}}trey and
                  Karol Gugula and
                  Piotr Zierhoffer and
                  Eric Knauss and
                  Hans{-}Martin Heyn},
  title        = {VEDLIoT: Very Efficient Deep Learning in IoT},
  journal      = {CoRR},
  volume       = {abs/2207.00675},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2207.00675},
  doi          = {10.48550/ARXIV.2207.00675},
  eprinttype    = {arXiv},
  eprint       = {2207.00675},
  timestamp    = {Thu, 01 May 2025 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2207-00675.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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