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CHFDS: Clustered-based Hierarchical Federated Learning Framework with Differential Privacy and Secure Aggregation
Chih Hung Han, Wei Chih Yin,
Chia Yu Lin
, Ted T. Kuo
資訊工程學系
研究成果
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會議論文篇章
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1
引文 斯高帕斯(Scopus)
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深入研究「CHFDS: Clustered-based Hierarchical Federated Learning Framework with Differential Privacy and Secure Aggregation」主題。共同形成了獨特的指紋。
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Keyphrases
Differential Privacy
100%
Federated Learning System
100%
Secure Aggregation
100%
Hierarchical Federated Learning
100%
Data Security
66%
Federated Learning
66%
Security Issues
33%
Training Data
33%
Training Process
33%
Training Accuracy
33%
Data Distribution
33%
Identically Distributed
33%
Clustering Process
33%
Privacy Concerns
33%
Data Privacy
33%
Private Security
33%
Traditional Machine Learning
33%
Data Balance
33%
Non-independent and Identically Distributed Data
33%
Clustered Federated Learning
33%
Privacy Leakage
33%
Computer Science
Learning Framework
100%
Differential Privacy
100%
Federated Learning
100%
Data Security
40%
Training Process
20%
Data Distribution
20%
Security and Privacy
20%
Data Center
20%
Training Dataset
20%
clustering process
20%
Data Privacy
20%
Private Security
20%
Privacy Leakage
20%
Machine Learning
20%
Learning System
20%