FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation.
Ming HuPeiheng ZhouZhihao YueZhiwei LingYihao HuangYang LiuMingsong ChenPublished in: CoRR (2022)
Keyphrases
- prior knowledge
- mathematical model
- computational model
- accurate models
- statistical model
- theoretical framework
- online learning
- learning process
- high quality
- similarity measure
- high level
- learning scheme
- learning mechanism
- unsupervised learning
- feature selection
- learning algorithm
- experimental data
- learning tasks
- learning problems
- learned models
- genetic algorithm