Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.
Yae Jee ChoAndre ManoelGauri JoshiRobert SimDimitrios DimitriadisPublished in: IJCAI (2022)
Keyphrases
- knowledge transfer
- learning tasks
- learning algorithm
- structured prediction
- supervised learning
- learning process
- transfer learning
- knowledge construction
- neural network
- knowledge sharing
- reinforcement learning
- prior knowledge
- transfer knowledge
- cross domain
- multi task learning
- learned models
- previously learned
- active learning
- high dimensional
- support vector
- similarity measure
- feature extraction
- artificial intelligence
- information retrieval
- machine learning
- data mining