Privacy-Preserving Distributed Deep Learning for Clinical Data

Privacy-Preserving Distributed Deep Learning for Clinical Data

4 December 2018

Brett K. Beaulieu-Jones

S. G. Finlayson

Zhiwei Steven Wu

Papers citing "Privacy-Preserving Distributed Deep Learning for Clinical Data"

9 / 9 papers shown

Title
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam Trung Quoc Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 46 2 0 07 Jan 2025
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database Arash Mehrjou Ashkan Soleymani Annika Buchholz J. Hetzel Patrick Schwab Stefan Bauer OOD FedML 17 4 0 20 Apr 2022
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU Edward H. Lee M. M. Krell Alexander Tsyplikhin Victoria Rege E. Colak Kristen W. Yeom FedML 21 0 0 24 Sep 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? Eric P. Lehman Sarthak Jain Karl Pichotta Yoav Goldberg Byron C. Wallace OOD MIACV 24 119 0 15 Apr 2021
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
SPEED: Secure, PrivatE, and Efficient Deep learning Arnaud Grivet Sébert Rafael Pinot Martin Zuber Cédric Gouy-Pailler Renaud Sirdey FedML 15 20 0 16 Jun 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David Evans 24 147 0 21 May 2020
Federated and Differentially Private Learning for Electronic Health Records Stephen R. Pfohl Andrew M. Dai Katherine A. Heller OOD FedML 26 49 0 13 Nov 2019
Evaluating Differentially Private Machine Learning in Practice Bargav Jayaraman David Evans 15 7 0 24 Feb 2019