FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation.
Ming HuPeiheng ZhouZhihao YueZhiwei LingYihao HuangAnran LiYang LiuXiang LianMingsong ChenPublished in: ICDE (2024)
Keyphrases
- learning models
- learning tasks
- computational model
- learning algorithm
- probabilistic model
- online learning
- theoretical analysis
- mathematical model
- theoretical framework
- automatically learned
- accurate models
- learning mechanism
- neural nets
- learning problems
- experimental data
- prior knowledge
- neural network
- data sets
- statistical model
- collaborative learning
- supervised learning
- management system
- artificial neural networks
- learning scheme
- decision theoretic
- high quality
- learned models
- similarity measure
- connectionist networks