Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems.
Meisam HejaziniaDzmitry HubaIlias LeontiadisKiwan MaengMani MalekLuca MelisIlya MironovMilad NasrKaikai WangCarole-Jean WuPublished in: IEEE Data Eng. Bull. (2023)
Keyphrases
- ensemble learning
- recommendation systems
- generalization ability
- collaborative filtering
- user preferences
- ensemble methods
- recommender systems
- random forest
- ensemble classifier
- search engine
- feature selection
- web search
- base classifiers
- concept drift
- user feedback
- weighted voting
- multi label
- unlabeled data
- support vector machine
- active learning
- expert systems
- training data
- learning algorithm
- neural network