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An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 88-102
作者:
Changbing Tang
;
Baosen Yang
;
Xiaodong Xie
;
Guanrong Chen
;
Mohammed A. A. Al-qaness
;
Yang Liu
Adobe PDF(2968Kb)
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浏览/下载:150/124
  |  
提交时间:2024/01/02
Federated learning (FL)
game theory
incentive mechanism
machine learning
zero-determinant strategy
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:
M. Victoria Luzón
;
Nuria Rodríguez-Barroso
;
Alberto Argente-Garrido
;
Daniel Jiménez-López
;
Jose M. Moyano
;
Javier Del Ser
;
Weiping Ding
;
Francisco Herrera
Adobe PDF(4602Kb)
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收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/18
Data privacy
distributed machine learning
federated learning
software frameworks
Chromosome classification via deep learning and its application to patients with structural abnormalities of chromosomes
期刊论文
MEDICAL ENGINEERING & PHYSICS, 2023, 卷号: 121, 页码: 11
作者:
Yang, Chuan
;
Li, Tingting
;
Dong, Qiulei
;
Zhao, Yanyan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/02/22
Karyotyping
Chromosome classification
Machine learning
Deep convolutional neural network
An Underwater Robotic System With a Soft Continuum Manipulator for Autonomous Aquatic Grasping
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:
Liu, Jiaqi
;
Song, Zhuheng
;
Lu, Yue
;
Yang, Hui
;
Chen, Xingyu
;
Duo, Youning
;
Chen, Bohan
;
Kong, Shihan
;
Shao, Zhuyin
;
Gong, Zheyuan
;
Wang, Shiqiang
;
Ding, Xilun
;
Yu, Junzhi
;
Wen, Li
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2023/12/21
Grasping
Robots
Soft robotics
Manipulator dynamics
Task analysis
Robot kinematics
Biology
Machine learning
soft robotics
underwater grasping
3D printing in materials manufacturing industry: A realm of Industry 4.0
期刊论文
HELIYON, 2023, 卷号: 9, 期号: 9, 页码: 20
作者:
Tamir, Tariku Sinshaw
;
Xiong, Gang
;
Shen, Zhen
;
Leng, Jiewu
;
Fang, Qihang
;
Yang, Yong
;
Jiang, Jingchao
;
Lodhi, Ehtisham
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2024/02/21
3D printing
Additive manufacturing
Closed-loop control
Machine learning
Industry 4.0
Lateral interaction by Laplacian-based graph smoothing for deep neural networks
期刊论文
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2023, 页码: 18
作者:
Chen, Jianhui
;
Wang, Zuoren
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2023/11/16
artificial neural networks
biologically plausible
Laplacian-based graph smoothing
lateral interaction
machine learning
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China
期刊论文
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 页码: 9
作者:
Yao, Yao
;
Zhou, Hanchu
;
Cao, Zhidong
;
Zeng, Daniel Dajun
;
Zhang, Qingpeng
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2023/11/17
Covid-19
reinforcement learning
artificial intelligence
machine learning
mathematical modelling
infectious diseases
Contrastive Adversarial Training for Multi-Modal Machine Translation
期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 卷号: 22, 期号: 6, 页码: 157:1-18
作者:
Huang X(黄鑫)
;
Zhang JJ(张家俊)
;
Zong CQ(宗成庆)
Adobe PDF(2387Kb)
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收藏
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浏览/下载:135/48
  |  
提交时间:2023/06/26
contrastive learning
adversarial training
multi-modal machine translation
Robust Monitor for Industrial IoT Condition Prediction
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:
Zhang, Xingwei
;
Tian, Hu
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2023/11/17
Perturbation methods
Monitoring
Industrial Internet of Things
Training
Predictive models
Robustness
Temperature sensors
Adversarial perturbation
adversarial training
Industrial Internet of Things (IIoT)
machine learning (ML)
temporal convolutional network (TCN)
Machine learning versus crop growth models: an ally, not a rival
期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:
Zhang, Ningyi
;
Zhou, Xiaohan
;
Kang, Mengzhen
;
Hu, Bao-Gang
;
Heuvelink, Ep
;
Marcelis, Leo F. M.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/11/17
Knowledge
and data-driven modelling
Machine learning
Process-based models
yield prediction