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CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 卷号: 143, 页码: 14
作者:  Li, Guangli;  Ma, Xiu;  Yu, Qiuchu;  Liu, Lei;  Liu, Huaxiao;  Wang, Xueying
收藏  |  浏览/下载:13/0  |  提交时间:2023/12/04
On-device deep learning  Efficient neural networks  Model approximation and optimization  
DHSA: efficient doubly homomorphic secure aggregation for cross-silo federated learning 期刊论文
JOURNAL OF SUPERCOMPUTING, 2022, 页码: 31
作者:  Liu, Zizhen;  Chen, Si;  Ye, Jing;  Fan, Junfeng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:23/0  |  提交时间:2022/12/07
Federated learning  Security  Efficient  Homomorphic  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载:34/0  |  提交时间:2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Joint caching and computing resource allocation for task offloading in vehicular networks 期刊论文
IET COMMUNICATIONS, 2020, 卷号: 14, 期号: 21, 页码: 3820-3827
作者:  Wang, Zhi;  Hou, Ronghui
收藏  |  浏览/下载:57/0  |  提交时间:2021/12/01
cellular radio  cloud computing  optimisation  resource allocation  cache storage  linear programming  mobile computing  nonlinear programming  integer programming  joint caching  computing resource  future vehicular networks  computation intensive  efficient content caching strategy  computation resource allocation strategy  mobile edge computing servers  MEC  caching content  maximising caching performance  caching capacity  balanced caching strategy  efficient caching strategy  
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks 期刊论文
IEEE DESIGN & TEST, 2020, 卷号: 37, 期号: 1, 页码: 36-45
作者:  He, Xin;  Yan, Guihai;  Lu, Wenyan;  Zhang, Xuan;  Liu, Ke
收藏  |  浏览/下载:44/0  |  提交时间:2020/12/10
Resilience  Energy consumption  Approximate computing  Collaboration  Computational modeling  Artificial neural networks  Optimization  Neural network  Energy efficient computing  Network pruning  Approximate computing  
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference 期刊论文
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2018, 卷号: 8, 期号: 4, 页码: 810-821
作者:  He, Xin;  Lu, Wenyan;  Yan, Guihai;  Zhang, Xuan
收藏  |  浏览/下载:233/0  |  提交时间:2019/04/03
Approximate computing  neural network accelerator  hardware-oriented training  sensitivity analysis  energy efficient architecture  near threshold voltage  approximate multiplier  
On-Demand Capacity Provisioning in Storage Clusters Through Workload Pattern Modeling 期刊论文
IEEE ACCESS, 2017, 卷号: 5, 页码: 24830-24841
作者:  Hu, Cheng;  Deng, Yuhui;  Yang, Laurence T.
收藏  |  浏览/下载:56/0  |  提交时间:2019/12/10
IoT  energy efficient  energy saving  storage cluster  capacity demand estimation  capacity provisioning  QoS  SLA  
Energy-Efficient Two-Stage Cooperative Multicast: Effect of User Density 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 卷号: 65, 期号: 9, 页码: 7297-7307
作者:  Zhou, Yiqing;  Liu, Hang;  Pan, Zhengang;  Tian, Lin;  Shi, Jinglin
收藏  |  浏览/下载:45/0  |  提交时间:2019/12/13
Conventional one-stage multicast  device-to-device transmission  energy efficient  low user density  two-stage cooperative transmission  
Efficient Algorithm for Energy-Aware Virtual Network Embedding 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2016, 卷号: 21, 期号: 4, 页码: 407-414
作者:  Jia, Shuxian;  Jiang, Guiyuan;  He, Peilan;  Wu, Jigang
收藏  |  浏览/下载:42/0  |  提交时间:2019/12/12
virtualization technology  virtual network embedding  energy efficient  optimization algorithm  
Efficient level of detail for texture-based flow visualization 期刊论文
COMPUTER ANIMATION AND VIRTUAL WORLDS, 2016, 卷号: 27, 期号: 2, 页码: 123-140
作者:  Lu, Daying;  Zhu, Dengming;  Wang, Zhaoqi;  Gao, Jinzhu
收藏  |  浏览/下载:42/0  |  提交时间:2019/12/13
level of detail  texture-based visualization  noise optimization  efficient acceleration  smooth animation