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西北工业大学 国内
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FedSCS: Client Selection for Federated Learning Under System Heterogeneity and Client Fairness with a Stackelberg Game Approach
Tong Yin,
Lixin Li
, Wensheng Lin,
Wei Liang
, Xu Li, Zhu Han
电子信息学院
Northwestern Polytechnical University Xian
University of Houston
科研成果
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同行评审
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引用 （Scopus）
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指纹
探究 'FedSCS: Client Selection for Federated Learning Under System Heterogeneity and Client Fairness with a Stackelberg Game Approach' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Federated Learning
100%
stackelberg game
100%
System Heterogeneity
100%
Learning Process
33%
Computation Capability
22%
Machine Learning
11%
Learning System
11%
Wireless Communication
11%
Training Data
11%
Learning Algorithm
11%
Learning Framework
11%
Data Distribution
11%
time-delay
11%
Gathering Data
11%
Unfairness
11%
Mathematics
Distributed Data
100%
Time Delay
50%
Data Distribution
50%
Equilibrium Solution
50%