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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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发表日期:2020
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Customized Federated Learning for accelerated edge computing with heterogeneous task targets
期刊论文
COMPUTER NETWORKS, 2020, 卷号: 183, 页码: 13
作者:
Jiang, Hui
;
Liu, Min
;
Yang, Bo
;
Liu, Qingxiang
;
Li, Jizhong
;
Guo, Xiaobing
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/01
Edge computing
Federated Learning
Convergence performance
Learning salient features to prevent model drift for correlation tracking
期刊论文
NEUROCOMPUTING, 2020, 卷号: 418, 页码: 1-10
作者:
Zhang, Yu
;
Gao, Xingyu
;
Chen, Zhenyu
;
Zhong, Huicai
;
Li, Liang
;
Yan, Chenggang
;
Shen, Tao
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/12/01
Salient features
Drift prevention
Correlation tracking
Parallel Spatial-Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 12
作者:
Liu, Xiuling
;
Shen, Yonglong
;
Liu, Jing
;
Yang, Jianli
;
Xiong, Peng
;
Lin, Feng
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/12/01
motor imagery
EEG
BCI
spatial-temporal self-attention
deep learning
A Binarized Segmented ResNet Based on Edge Computing for Re-Identification
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 23, 页码: 19
作者:
Chen, Yanming
;
Yang, Tianbo
;
Li, Chao
;
Zhang, Yiwen
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/12/01
binary neural network
cloud computing
edge computing
person Re-Identification
end devices
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4707-4720
作者:
Cai, Yi
;
Lin, Yujun
;
Xia, Lixue
;
Chen, Xiaoming
;
Han, Song
;
Wang, Yu
;
Yang, Huazhong
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/12/01
Gradient sparsification
lifetime
neural networks
training-in-memory
wear-leveling
Swallow: A Versatile Accelerator for Sparse Neural Networks
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4881-4893
作者:
Liu, Bosheng
;
Chen, Xiaoming
;
Han, Yinhe
;
Xu, Haobo
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/12/01
Accelerator
convolutional (Conv) layers
fully connected (FC) layers
sparse neural networks (SNNs)
FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4791-4804
作者:
Lan, Yazhu
;
Nixon, Kent W.
;
Guo, Qingli
;
Zhang, Guohe
;
Xu, Yuanchao
;
Li, Hai
;
Chen, Yiran
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/12/01
Perturbation methods
Computational modeling
Data integrity
Detectors
Optimization
Field programmable gate arrays
Hardware
Adversarial attacks
confidence detection
deep neural networks (DNNs)
FPGA-based hardware architecture
sensor pattern noise (SPN)
Distributed machine learning load balancing strategy in cloud computing services
期刊论文
WIRELESS NETWORKS, 2020, 卷号: 26, 期号: 8, 页码: 5517-5533
作者:
Li, Mingwei
;
Zhang, Jilin
;
Wan, Jian
;
Ren, Yongjian
;
Zhou, Li
;
Wu, Baofu
;
Yang, Rui
;
Wang, Jue
收藏
  |  
浏览/下载:291/0
  |  
提交时间:2020/12/10
Mobile service computing
Cloud service
Distributed machine learning
Load balancing
Adaptive fast reassignment
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261
作者:
Wang, Rongrong
;
Luo, Haiyong
;
Wang, Qu
;
Li, Zhaohui
;
Zhao, Fang
;
Huang, Jingyu
收藏
  |  
浏览/下载:147/0
  |  
提交时间:2020/12/10
Wireless fidelity
Feature extraction
Fingerprint recognition
Residual neural networks
Deep learning
Robustness
Degradation
Convolutional neural network (CNN)
indoor positioning
long short-term memory (LSTM)
residual network
spatial-temporal
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626
作者:
Li, Guangli
;
Ma, Xiu
;
Wang, Xueying
;
Liu, Lei
;
Xue, Jingling
;
Feng, Xiaobing
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/12/01
Deep learning system
edge intelligence
model compression and acceleration
neural networks