Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity.
Kiwan MaengHaiyu LuLuca MelisJohn NguyenMike RabbatCarole-Jean WuPublished in: CoRR (2022)
Keyphrases
- data sets
- prior knowledge
- data collection
- image data
- data structure
- database
- learning process
- data sources
- learning models
- learning systems
- training data
- high quality
- data mining techniques
- learning tasks
- data distribution
- data processing
- neural network
- data analysis
- machine learning
- active learning
- sensor data
- distributed data
- matrix factorization
- data quality
- original data
- data mining
- spatial data
- background knowledge
- missing data
- learning algorithm
- statistical analysis
- learning environment
- input data
- training set