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Federated learning algorithm based on knowledge distillation
Donglin Jiang, Chen Shan, Zhihui Zhang
School of Computer Science
School of Mathematical Sciences
Research output
:
Contribution to conference
›
Paper
27
Citations (Scopus)
92
Downloads (Pure)
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Dive into the research topics of 'Federated learning algorithm based on knowledge distillation'. Together they form a unique fingerprint.
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Keyphrases
Knowledge Distillation
100%
Learning Algorithm
100%
Federated Learning
100%
Global Model
60%
Personalized Model
40%
Knowledge Transfer
20%
Classification Task
20%
Training Model
20%
Training Methods
20%
Classification Accuracy
20%
Number of Edges
20%
Poor Performance
20%
Local Datasets
20%
Private Data Sharing
20%
Statistical Heterogeneity
20%
Model Driven Architecture
20%
Distributed Machine Learning
20%
Independent Identical Distribution
20%
Heterogeneous Users
20%
Private Data
20%
Heterogeneous Model
20%
Heterogeneous Networks
20%
Edge Computing Device
20%
Local Performance
20%
Federated Data
20%
Distributed Training
20%
Sharing Model
20%
Computer Science
Knowledge Distillation
100%
Learning Algorithm
100%
Federated Learning
100%
Knowledge Transfer
20%
Classification Task
20%
Security and Privacy
20%
Data Sharing
20%
Edge Computing
20%
Distributed Machine Learning
20%
Heterogeneous Network
20%
Computing Device
20%
Model Architecture
20%