-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning.
Yiqing ShenYuyin ZhouLequan YuPublished in: CVPR (2022)
Keyphrases
- probabilistic model
- statistical model
- learning scheme
- learning models
- learning systems
- computational model
- formal model
- mathematical model
- automatically learned
- structured prediction
- learning phase
- neural nets
- learning tasks
- parameter estimation
- learning process
- data sets
- theoretical framework
- estimation algorithm
- high level
- learning algorithm
- neural network