FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.
Zhiyuan NingChunlin TianMeng XiaoWei FanPengyang WangLi LiPengfei WangYuanchun ZhouPublished in: CoRR (2024)
Keyphrases
- learning process
- learning algorithm
- main contribution
- machine learning
- lightweight
- learning frameworks
- distributed learning
- discriminative learning
- design principles
- learning problems
- learning systems
- supervised learning
- learning tasks
- theoretical framework
- global optimization
- multi task
- kernel function
- kernel machines
- online learning