Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors.
Chun-Yin HuangKartik SrinivasXin ZhangXiaoxiao LiPublished in: CoRR (2024)
Keyphrases
- prior knowledge
- learning models
- probability distribution
- experimental data
- empirical data
- statistical methods
- data sets
- measured data
- background knowledge
- computational model
- probabilistic model
- data sources
- bayesian methods
- input data
- simulation data
- expert knowledge
- data analysis
- cooperative
- distributed data
- hidden variables
- learning phase
- high level
- test data
- database
- synthetic data
- data collection
- data processing
- learned models
- high dimensional data
- learning scheme
- knowledge discovery
- learning tasks
- learning mechanism
- accurate models
- predictive model
- learning algorithm
- feature selection
- human experts
- mathematical model
- access control
- data points