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R2F: A Remote Retraining Framework for AIoT Processors with Computing
  Errors

R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

7 July 2021
Dawen Xu
Meng He
Cheng Liu
Ying Wang
Long Cheng
Huawei Li
Xiaowei Li
Kwang-Ting Cheng
ArXivPDFHTML

Papers citing "R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors"

5 / 5 papers shown
Title
Soft Error Reliability Analysis of Vision Transformers
Soft Error Reliability Analysis of Vision Transformers
Xing-xiong Xue
Cheng Liu
Ying Wang
Bing Yang
Tao Luo
Lefei Zhang
Huawei Li
Xiaowei Li
39
14
0
21 Feb 2023
Statistical Modeling of Soft Error Influence on Neural Networks
Statistical Modeling of Soft Error Influence on Neural Networks
Haitong Huang
Xing-xiong Xue
Cheng Liu
Ying Wang
Tao Luo
Long Cheng
Huawei Li
Xiaowei Li
29
7
0
12 Oct 2022
Winograd Convolution: A Perspective from Fault Tolerance
Winograd Convolution: A Perspective from Fault Tolerance
Xing-xiong Xue
Haitong Huang
Cheng Liu
Ying Wang
Tao Luo
Lefei Zhang
47
13
0
17 Feb 2022
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture
FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture
Xuefei Ning
Guangjun Ge
Wenshuo Li
Zhenhua Zhu
Yin Zheng
Xiaoming Chen
Zhen Gao
Yu Wang
Huazhong Yang
37
24
0
20 Mar 2020
1