Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
Kendall SchmidtBen BearceKen ChangLaura CoombsKeyvan FarahaniMarawan ElbatelKaouther MouhebeRobert MartiRuipeng ZhangYao ZhangYanfeng WangYaojun HuHaochao YingYuyang XuConrad TestagroseMutlu DemirerVikash GuptaÜnal AkünalMarkus BujotzekKlaus H. Maier-HeinYi QinXiaomeng LiJayashree Kalpathy-CramerHolger R. RothPublished in: CoRR (2024)
Keyphrases
- learning algorithm
- supervised learning
- learning process
- learning problems
- machine learning
- learning scheme
- automated classification
- incremental learning
- reinforcement learning
- active learning
- learning tasks
- machine learning algorithms
- decision tree learning
- training samples
- decision tree learning algorithm
- supervised learning algorithms
- unsupervised learning
- image classification
- hypothesis space
- computer aided
- decision trees
- training data
- learning models
- discriminative learning
- support vector
- learning machines
- feature selection
- mammogram images
- breast cancer diagnosis
- feature extraction
- learned models
- generalization ability
- classification models
- digital libraries
- classification accuracy
- class labels
- text classification
- support vector machine svm