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VEDLIoT: Very Efficient Deep Learning in IoT

Kaiser, M. (author)
Universität Bielefeld,Bielefeld University,Bielefeld University, Germany
Griessl, R. (author)
Universität Bielefeld,Bielefeld University
Kucza, N. (author)
Universität Bielefeld,Bielefeld University
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Haumann, C. (author)
Universität Bielefeld,Bielefeld University
Tigges, L. (author)
Universität Bielefeld,Bielefeld University
Mika, K. (author)
Hagemeyer, J. (author)
Universität Bielefeld,Bielefeld University
Porrmann, F. (author)
Universität Bielefeld,Bielefeld University
Ruckert, U. (author)
Universität Bielefeld,Bielefeld University
Vor Dem Berge, M. (author)
Christmann Informationstechnik + Medien
Krupop, S. (author)
Christmann Informationstechnik + Medien
Porrmann, M. (author)
Universität Osnabrück,Osnabrück University
Tassemeier, M. (author)
Universität Osnabrück,Osnabrück University
Petersen Moura Trancoso, Pedro, 1969 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Qararyah, F. (author)
Zouzoula, Stavroula, 1992 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Casimiro, A. (author)
Universidade de Lisboa,University of Lisbon
Bessani, A. (author)
Universidade de Lisboa,University of Lisbon
Cecilio, J. (author)
Universidade de Lisboa,University of Lisbon
Andersson, S. (author)
Brunnegard, O. (author)
Eriksson, O. (author)
Weiss, R. (author)
Siemens AG
McIerhofer, F. (author)
Siemens AG
Salomonsson, Hans, 1985 (author)
Malekzadeh, E. (author)
Odman, D. (author)
Khurshid, A. (author)
RISE,Datavetenskap
Felber, P. (author)
Université de Neuchâtel,University of Neuchatel
Pasin, M. (author)
Université de Neuchâtel,University of Neuchatel
Schiavoni, V. (author)
Université de Neuchâtel,University of Neuchatel
Menetrey, J. (author)
Gugala, K. (author)
Zierhoffer, P. (author)
Knauss, Eric, 1977 (author)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg
Heyn, Hans-Martin, 1987 (author)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg,Göteborg University, Sweden
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 (creator_code:org_t)
IEEE, 2022
2022
English.
In: Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022. - : IEEE. - 9783981926361
Related links:
https://gup.ub.gu.se...
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  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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 distributed systems. The methods are tested on various use-cases ranging from Smart Home to Automotive and Industrial IoT appliances. VEDLIoT is an H2020 EU project which started in November 2020. It is currently in an intermediate stage with the first results available.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)

Keyword

IoT
Deep Learning
Software Engineering
Requirements Engineering
Automation

Publication and Content Type

ref (subject category)
kon (subject category)

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