Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs.
Anika HannemannJan EwaldLeo SeegerErik BuchmannPublished in: CoRR (2024)
Keyphrases
- data model
- trade off
- learning systems
- high quality
- reinforcement learning
- learning process
- learning algorithm
- knowledge acquisition
- supervised learning
- prior knowledge
- active learning
- incremental learning
- digital libraries
- learning tasks
- learning scheme
- inductive learning
- learning problems
- neural network
- inductive inference
- unsupervised learning
- data sources
- query language
- multi objective
- artificial neural networks
- decision trees