Federated Learning of Large Models at the Edge via Principal Sub-Model Training.
Yue NiuSaurav PrakashSouvik KunduSunwoo LeeSalman AvestimehrPublished in: CoRR (2022)
Keyphrases
- probabilistic model
- accurate models
- structured prediction
- prior knowledge
- learning models
- learned models
- metamodel
- generic model
- modeling framework
- hidden variables
- online learning
- statistical model
- statistical models
- multiple models
- neural network model
- computational models
- hybrid model
- mathematical model
- parameter estimation
- feedforward neural networks
- process model
- experimental data
- learning algorithm
- prediction model
- linear model
- neural nets
- learning scheme
- bayesian methods
- predictive model
- classification models
- bayesian framework
- learning process
- learning tasks
- objective function