Efficient Deep Learning
  • Overview
    • Motivation
    • Program structure
    • Management structure
    • Results
    • Publication Overview
    • Newsletters
    • Events
      • EDL Plenary meeting, 21. October 2022 at Kaap Doorn
      • NCCV 2022
      • Workshop on Edge Computing, Friday June 4th, 2021
      • EDL Annual Day, February 4th, 2022
      • EDL Winter school, 22-25 November 2021
  • Partners
  • Research lines
    • R1: Data-efficient DL
    • R2: Efficient Multi-modal and Temporal DL
    • R3: DL Verifiability, Accountability and Visualization
    • R4: Efficient DL Processing Components
    • R5: Efficient DL Architectures
    • R6: Distributed HPC for DL
  • Projects
    • P1 : DL as a Service (DLaaS)
    • P2 : DL for 3D Reconstruction, Matching & Recognition (RMR)
    • P3 : DL for Video Analysis and Surveillance (VAS)
    • P4 : Deep Learning for High-Tech Systems and Materials (HTSM)
    • P5 : DL for Human and Animal Health (HAH)
    • P6 : DL for Mobile Robotics (MRob)
    • P7 : Efficient Deep Learning Platforms (eDLP)
  • Researchers
    • Akdag, Erkut
    • Bakker, Tim
    • Boekema, Hidde
    • Brand, Patrick
    • Das, Partha
    • Eissa, Sherif
    • Emad, Mohammad
    • Fatseas, Konstantinos
    • Hoseini, Sahar
    • Karami, Taha
    • Klomp, Sander
    • Koudahl, Magnus
    • Liu, Xin
    • Mercan, Caner
    • Mesarcik, Misha
    • Nigade, Vinod
    • Pérez Rey, Luis Armando
    • Piva, Fabrizio J.
    • Romero, David W.
    • Russello, Helena
    • Strafforello, Ombretta
    • Thoker, Fida Mohammad
    • Xia, Zimin
    • Yin, Bojian
  • Contacts
  • Intern
    • Project members
    • Companies
    • Consortium
  • Overview
    • Motivation
    • Program structure
    • Management structure
    • Results
    • Publication Overview
    • Newsletters
    • Events
      • EDL Plenary meeting, 21. October 2022 at Kaap Doorn
      • NCCV 2022
      • Workshop on Edge Computing, Friday June 4th, 2021
      • EDL Annual Day, February 4th, 2022
      • EDL Winter school, 22-25 November 2021
  • Partners
  • Research lines
    • R1: Data-efficient DL
    • R2: Efficient Multi-modal and Temporal DL
    • R3: DL Verifiability, Accountability and Visualization
    • R4: Efficient DL Processing Components
    • R5: Efficient DL Architectures
    • R6: Distributed HPC for DL
  • Projects
    • P1 : DL as a Service (DLaaS)
    • P2 : DL for 3D Reconstruction, Matching & Recognition (RMR)
    • P3 : DL for Video Analysis and Surveillance (VAS)
    • P4 : Deep Learning for High-Tech Systems and Materials (HTSM)
    • P5 : DL for Human and Animal Health (HAH)
    • P6 : DL for Mobile Robotics (MRob)
    • P7 : Efficient Deep Learning Platforms (eDLP)
  • Researchers
    • Akdag, Erkut
    • Bakker, Tim
    • Boekema, Hidde
    • Brand, Patrick
    • Das, Partha
    • Eissa, Sherif
    • Emad, Mohammad
    • Fatseas, Konstantinos
    • Hoseini, Sahar
    • Karami, Taha
    • Klomp, Sander
    • Koudahl, Magnus
    • Liu, Xin
    • Mercan, Caner
    • Mesarcik, Misha
    • Nigade, Vinod
    • Pérez Rey, Luis Armando
    • Piva, Fabrizio J.
    • Romero, David W.
    • Russello, Helena
    • Strafforello, Ombretta
    • Thoker, Fida Mohammad
    • Xia, Zimin
    • Yin, Bojian
  • Contacts
  • Intern
    • Project members
    • Companies
    • Consortium

Workshop on Edge Computing, Friday June 4th, 2021

Free online workshop, organized by prof. Henri Bal and dr. Lin Wang of the Vrije Universiteit Amsterdam.

See prestation slides of the workshop on: http://edl-edge-workshop.edgecomp.org/

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