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3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization,
  and Ultra-Low Latency Acceleration

3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration

11 May 2021
Yao Chen
Cole Hawkins
Kaiqi Zhang
Zheng-Wei Zhang
Cong Hao
ArXivPDFHTML

Papers citing "3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration"

4 / 4 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
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed)
  Neural Networks
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Yequan Zhao
Xinling Yu
Zhixiong Chen
Z. Liu
Sijia Liu
Zheng-Wei Zhang
PINN
32
11
0
18 Aug 2023
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
31
22
0
07 Apr 2022
Layer-Wise Data-Free CNN Compression
Layer-Wise Data-Free CNN Compression
Maxwell Horton
Yanzi Jin
Ali Farhadi
Mohammad Rastegari
MQ
24
17
0
18 Nov 2020
1