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Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers

Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers

28 January 2025
Cyan Subhra Mishra
Deeksha Chaudhary
Jack Sampson
Mahmut Taylan Knademir
Chita R. Das
ArXiv (abs)PDFHTML

Papers citing "Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers"

6 / 6 papers shown
Title
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices
Sahidul Islam
Jieren Deng
Shangli Zhou
Chen Pan
Caiwen Ding
Mimi Xie
46
19
0
28 Nov 2021
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
Graham Gobieski
Nathan Beckmann
Brandon Lucia
47
205
0
28 Sep 2018
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio
  Analysis on a Simple Benchmark
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark
Sören Becker
Johanna Vielhaben
M. Ackermann
Klaus-Robert Muller
Sebastian Lapuschkin
Wojciech Samek
XAI
54
99
0
09 Jul 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
136
521
0
09 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,883
0
25 Aug 2017
Designing Energy-Efficient Convolutional Neural Networks using
  Energy-Aware Pruning
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang
Yu-hsin Chen
Vivienne Sze
3DV
86
740
0
16 Nov 2016
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