Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity.
Kiwan MaengHaiyu LuLuca MelisJohn NguyenMike RabbatCarole-Jean WuPublished in: RecSys (2022)
Keyphrases
- data sources
- data sets
- data analysis
- data structure
- prior knowledge
- knowledge discovery
- raw data
- reinforcement learning
- learned models
- data quality
- original data
- human experts
- learning tasks
- sensor data
- data collection
- online learning
- image data
- database
- high quality
- learning algorithm
- data points
- learning process
- data distribution
- distributed data
- matrix factorization
- training data
- digital libraries
- data mining
- feature selection
- recommender systems
- statistical analysis
- data processing
- machine learning
- distributed systems
- small number
- probability distribution