Online Model Compression for Federated Learning with Large Models.
Tien-Ju YangYonghui XiaoGiovanni MottaFrançoise BeaufaysRajiv MathewsMingqing ChenPublished in: CoRR (2022)
Keyphrases
- probabilistic model
- learning models
- experimental data
- prior knowledge
- learned models
- online learning
- metamodel
- accurate models
- statistical models
- learning mechanism
- hidden variables
- learning scheme
- learning algorithm
- linear model
- neural nets
- generic model
- latent variable models
- classification models
- learning process
- statistical model
- mathematical model
- computational model
- prediction model
- domain models
- training data
- multiple models
- analytical model
- modeling framework
- parameter estimation
- dynamic bayesian networks
- learning rules
- gaussian processes
- process model
- computational models
- modeling method
- autoregressive
- hybrid model
- learning phase
- em algorithm
- machine learning
- learning tasks
- objective function
- data compression
- exponentiated gradient