← authors · overview

• FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
  2018 · 66 citations
• Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
  2020 · 24 citations
• Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
  2019 · 20 citations
• LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
  2018 · 14 citations
• Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving
  2019 · 9 citations
• Two-stage Federated Phenotyping and Patient Representation Learning
  2019 · 7 citations
• Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
  2019 · 6 citations
• Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
  2019 · 5 citations
• Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
  2020 · 2 citations
• FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data
  2022 · 1 citations
• Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
  2024
• PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
  2021