Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning.
Mark Huasong MengSin G. TeoGuangdong BaiKailong WangJin Song DongPublished in: PAKDD (2) (2023)
Keyphrases
- prior knowledge
- learning models
- accurate models
- raw data
- data processing
- training data
- input data
- learning algorithm
- simulation data
- experimental data
- probability distribution
- hidden variables
- expert knowledge
- synthetic data
- sensory data
- data sets
- learning scheme
- learning systems
- data collection
- measured data
- data analysis
- data sources
- prior information
- database
- data mining techniques
- probabilistic model
- test data
- knowledge discovery
- network structure
- learning tasks
- mathematical model
- background knowledge
- image data
- hidden markov models
- learning process
- distributed systems
- bayesian methods
- learning mechanism
- learned models
- objective function
- similarity measure
- decision trees
- em algorithm