FedAHP: A Heterogeneous Client Selection Method for Federated Learning Based on the Analytic Hierarchy Process in Mobile Edge.
Zhaohua ZhengZizheng WangXinyu TongKeqiu LiQiquan ChenPublished in: CSCWD (2024)
Keyphrases
- prior knowledge
- cost function
- learning scheme
- objective function
- significant improvement
- mobile learning
- preprocessing
- learning experience
- mobile devices
- edge detection
- active learning
- gray value
- learning mechanism
- evaluation method
- clustering method
- probabilistic model
- neural network
- learning process
- pairwise
- similarity measure
- decision trees
- image processing
- learning algorithm
- machine learning