Federated Learning Enables Big Data for Rare Cancer Boundary Detection.
Sarthak PatiUjjwal BaidBrandon EdwardsMicah J. ShellerHans Shih-Han WangG. Anthony ReinaPatrick FoleyAlexey GruzdevDeepthi KarkadaChristos DavatzikosChiharu SakoSatyam GhodasaraMichel BilelloSuyash MohanPhilipp VollmuthGianluca BrugnaraChandrakanth J. PreethaFelix SahmKlaus H. Maier-HeinMaximilian ZenkMartin BendszusWolfgang WickEvan CalabreseJeffrey D. RudieJavier E. Villanueva-MeyerSoonmee ChaMadhura IngalhalikarManali JadhavUmang PandeyJitender SainiJohn GarrettMatthew LarsonRobert JerajStuart CurrieRussell FroodKavi FataniaRaymond Y. HuangKen ChangCarmen Balaña QuinteroJaume CapelladesJosep PuigJohannes TrenklerJosef PichlerGeorg NeckerAndreas HaunschmidtStephan MeckelGaurav ShuklaSpencer LiemGregory S. Alexanderet al.Published in: CoRR (2022)
Keyphrases
- boundary detection
- big data
- high volume
- data processing
- business intelligence
- big data analytics
- machine learning
- vast amounts of data
- social computing
- predictive modeling
- data intensive
- mobile learning
- database management systems
- cloud computing
- data management
- supervised learning
- expert systems
- data analysis
- case study
- information systems