Unlocking Edge Intelligence through Tiny Machine Learning (TinyML)

Zaidi, SAR orcid.org/0000-0003-1969-3727, Hayajneh, AM, Hafeez, M et al. (1 more author) (2022) Unlocking Edge Intelligence through Tiny Machine Learning (TinyML). IEEE Access. ISSN 2169-3536

Abstract

Metadata

Authors/Creators:
Keywords: Tiny Machine Learning , IoT , Edge Computing , 5G , LoRa , Gesture Recognition , Deep Learning , Transfer Learning , Federated Learning , Implementation , MLOps , Energy Efficiency
Dates:
  • Accepted: 6 September 2022
  • Published (online): 16 September 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Sep 2022 13:17
Last Modified: 20 Sep 2022 13:17
Status: Published online
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ACCESS.2022.3207200

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