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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：27/0  |  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：33/0  |  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：40/0  |  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：44/0  |  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：37/0  |  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：28/0  |  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：41/0  |  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：286/0  |  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：142/0  |  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：47/0  |  提交时间：2021/12/01
Deep learning system  edge intelligence  model compression and acceleration  neural networks