FADL:Federated-Autonomous Deep Learning for Distributed Electronic
Health Record

FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record

28 November 2018

Timothy A. Miller

Papers citing "FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record"

10 / 10 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 61 0 0 08 May 2025
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 45 226 0 15 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 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 48 91 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
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 26 60 0 22 Jul 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 31 15 0 24 Apr 2020
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 19 33 0 17 Dec 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 31 51 0 27 Oct 2019
Open Set Medical Diagnosis Viraj Prabhu A. Kannan Geoffrey Tso Namit Katariya Manish Chablani David Sontag X. Amatriain 23 9 0 07 Oct 2019