Energy Efficient Neural Network Embedding in IoT over Passive Optical Networks

Alenazi, MM, Yosuf, BA, El-Gorashi, T et al. (1 more author) (2020) Energy Efficient Neural Network Embedding in IoT over Passive Optical Networks. In: 2020 22nd International Conference on Transparent Optical Networks (ICTON). 22nd International Conference on Transparent Optical Networks (ICTON), 19-23 Jul 2020, Bari, Italy. IEEE . ISBN 978-1-7281-8424-1

Abstract

Metadata

Authors/Creators:
  • Alenazi, MM
  • Yosuf, BA
  • El-Gorashi, T
  • Elmirghani, JMH
Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Artificial neural networks, Cloud computing, Power demand, Logic gates, Task analysis, Energy efficiency, Smart homes
Dates:
  • Published: 19 July 2020
  • Accepted: 2 May 2020
  • Published (online): 22 September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/K503836/1
EPSRC (Engineering and Physical Sciences Research Council)EP/H040536/1
EPSRC (Engineering and Physical Sciences Research Council)EP/K016873/1
EPSRC (Engineering and Physical Sciences Research Council)EP/R511717/1
EPSRC (Engineering and Physical Sciences Research Council)EP/S016570/1
Depositing User: Symplectic Publications
Date Deposited: 05 Nov 2020 14:32
Last Modified: 06 Nov 2020 10:48
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/icton51198.2020.9203403

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