Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data

Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data

27 October 2019

Sabri Boughorbel

Neethu Venugopal

Michel Makhlouf

Papers citing "Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data"

17 / 17 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 54 0 0 08 May 2025
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels Malte Tolle Fernando Navarro Sebastian Eble Ivo Wolf Bjoern H. Menze Sandy Engelhardt FedML 45 1 0 10 Jul 2024
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 43 3 0 18 Dec 2023
Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham Nadav Rappoport FedML OOD 24 12 0 22 May 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation Rongyu Zhang Xiaowei Chi Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 38 12 0 27 Mar 2023
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading Fei Kong Xiyue Wang Jin-Peng Xiang Sen Yang Xinran Wang ... Xiao Han Yuhan Dong Biyue Zhu Fang Wang Yueping Liu MedIm 40 6 0 13 Feb 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 46 90 0 05 Aug 2022
Towards the Practical Utility of Federated Learning in the Medical Domain Seongjun Yang Hyeonji Hwang Daeyoung Kim Radhika Dua Jong-Yeup Kim Eunho Yang Edward Choi FedML OOD 21 16 0 07 Jul 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
Feature-context driven Federated Meta-Learning for Rare Disease Prediction Bingyang Chen Tao Chen Xingjie Zeng Weishan Zhang Qinghua Lu Zhaoxiang Hou Jiehan Zhou A. Helal FedML 24 1 0 29 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 28 4 0 10 Dec 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 19 513 0 16 Nov 2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis Sicong Che Hao Peng Lichao Sun Yong Chen Lifang He FedML 63 40 0 04 May 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study Ning Ge Guanghao Li Li Zhang Yi Liu FedML 21 45 0 25 Jan 2021
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 33 22 0 01 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016