Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels.
Pranav KulkarniAdway KanherePaul H. YiVishwa S. ParekhPublished in: CoRR (2023)
Keyphrases
- image classification
- online learning
- active learning
- bag of words
- learning process
- learning algorithm
- knowledge acquisition
- supervised learning
- training set
- reinforcement learning
- feature selection
- learning systems
- learning tasks
- distributed data
- pairwise
- training data
- image representation
- data sets
- inductive inference
- visual recognition
- distributed learning
- weakly labeled