Federated Learning for Breast Density Classification: A Real-World Implementation.
Holger R. RothKen ChangPraveer SinghNir NeumarkWenqi LiVikash GuptaSharut GuptaLiangqiong QuAlvin IhsaniBernardo C. BizzoYuhong WenVarun BuchMeesam ShahFelipe KitamuraMatheus MendonçaVitor LavorAhmed HarouniColin CompasJesse TetreaultPrerna DograYan ChengSelnur ErdalRichard D. WhiteBehrooz HashemianThomas J. SchultzMiao ZhangAdam McCarthyB. Min YunElshaimaa SharafKatharina Viktoria HoebelJay B. PatelBryan ChenSean KoEvan LeibovitzEtta D. PisanoLaura CoombsDaguang XuKeith J. DreyerIttai DayanRam C. NaiduMona FloresDaniel L. RubinJayashree Kalpathy-CramerPublished in: CoRR (2020)
Keyphrases
- real world
- supervised learning
- unsupervised learning
- machine learning
- pattern recognition
- breast cancer diagnosis
- learning algorithm
- incremental learning
- learning systems
- learning process
- automatic classification
- online learning
- classification accuracy
- learning tasks
- distributed systems
- multi class
- active learning
- discriminative learning
- decision trees
- multi category
- inductive inference
- collaborative learning
- cost sensitive
- pattern classification
- machine learning methods
- class labels
- synthetic data
- data sets
- wide range
- data mining
- neural network