FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout.
Samuel HorvathStefanos LaskaridisMário AlmeidaIlias LeontiadisStylianos I. VenierisNicholas D. LanePublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- high quality
- prior knowledge
- knowledge acquisition
- online learning
- data mining
- machine learning
- learning algorithm
- decision trees
- learning systems
- unsupervised learning
- learning community
- real world
- learning scenarios
- learning tasks
- background knowledge
- supervised learning
- active learning
- digital libraries
- case study
- metadata
- information systems
- social networks