Assessing the Implications of Data Heterogeneity on Privacy-Enhanced Federated Learning: A Comprehensive Examination Using CIFAR-10.
Phoebe Joanne GoVictor CalinaoMelchizedek AlipioPublished in: TENCON (2023)
Keyphrases
- data sets
- prior knowledge
- raw data
- data sources
- learning process
- learning algorithm
- database
- data processing
- data collection
- learning systems
- end users
- data structure
- data analysis
- labeled data
- data mining algorithms
- original data
- learning models
- distributed data
- training data
- data distribution
- learning tasks
- data mining
- data quality
- federated databases
- preserving privacy