Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.
Yae Jee ChoAndre ManoelGauri JoshiRobert SimDimitrios DimitriadisPublished in: CoRR (2022)
Keyphrases
- knowledge transfer
- learning algorithm
- structured prediction
- supervised learning
- knowledge construction
- prior knowledge
- transfer knowledge
- knowledge sharing
- learning process
- unsupervised learning
- transfer learning
- training set
- previously learned
- probabilistic model
- learning tasks
- information systems
- artificial intelligence
- active learning
- real world
- databases