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BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the
  Edge

BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge

29 October 2021
Abdelrahman I. Hosny
Marina Neseem
Sherief Reda
    MQ
ArXivPDFHTML

Papers citing "BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge"

5 / 5 papers shown
Title
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
29
10
0
05 Mar 2024
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded
  Computing Platforms
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
38
11
0
19 Nov 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
23
22
0
27 Sep 2023
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
185
1,027
0
06 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
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