FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning.
Bo ZhaoPeng SunLiming FangTao WangKeyu JiangPublished in: CoRR (2021)
Keyphrases
- prior knowledge
- learning models
- experimental data
- data analysis
- data collection
- simulation data
- test data
- database
- input data
- data sources
- learning process
- probability distribution
- hidden variables
- empirical data
- accurate models
- statistical methods
- mathematical model
- active learning
- learning algorithm
- expert knowledge
- learning scheme
- bayesian methods
- learning phase
- sensory data
- data processing
- supervised learning
- knowledge discovery
- probabilistic model
- data model
- data sets
- computational model
- high dimensional data
- image data
- xml documents
- association rules
- predictive model
- digital libraries
- learned models
- measured data
- training data
- similarity measure