LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; S. Nabavi; Sergi Madonar; et al. (CoRR, 2019)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (DATE, 2022)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (CoRR, 2022)

VEDLIoT: Next generation accelerated AIoT systems and applications. - Kevin Mika; René Griessl; Nils Kucza; Florian Porrmann; Martin Kaiser; Lennart Tigges; Jens Hagemeyer; Pedro Trancoso; Muhammad Waqar Azhar; Fareed Qararyah; Stavroula Zouzoula; Jämes Ménétrey; et al. (CF, 2023)

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. - René Griessl; Florian Porrmann; Nils Kucza; Kevin Mika; Jens Hagemeyer; Martin Kaiser; Mario Porrmann; Marco Tassemeier; Marcel Flottmann; Fareed Qararyah; Muhammad Waqar Azhar; Pedro Trancoso; et al. (DATE, 2023)