FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework.
Yu ZhangDuo LiuMoming DuanLi LiXianzhang ChenAo RenYujuan TanChengliang WangPublished in: IEEE Trans. Parallel Distributed Syst. (2023)
Keyphrases
- formal model
- probabilistic model
- learning scheme
- theoretical framework
- learning algorithm
- learning frameworks
- learning models
- learning tasks
- modeling framework
- computational model
- similarity measure
- unified model
- learning problems
- experimental data
- hierarchical structure
- statistical model
- online learning
- supervised learning
- management system
- hidden variables
- probability distribution
- learning mechanism
- active learning
- mathematical framework
- learning phase
- learned models
- learning process
- reinforcement learning