Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms

Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong Kook Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a distributed deep learning framework for privacy-preserving medical data training. In order to avoid patients' data leakage in medical platforms, the hidden layers in the deep learning framework are separated and where the first layer is kept in platform and others layers are kept in a centralized server. Whereas keeping the original patients' data in local platforms maintain their privacy, utilizing the server for subsequent layers improves learning performance by using all data from each platform during training.

Original languageEnglish
Title of host publicationProceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3-4
Number of pages2
ISBN (Electronic)9781728130286
DOIs
Publication statusPublished - 2019 Jun
Event49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019 - Portland, United States
Duration: 2019 Jun 242019 Jun 27

Publication series

NameProceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019

Conference

Conference49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019
CountryUnited States
CityPortland
Period19/6/2419/6/27

Keywords

  • Deep Learning
  • Medical Big Data
  • Privacy Preserving

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Information Systems
  • Information Systems and Management
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms'. Together they form a unique fingerprint.

  • Cite this

    Jeon, J., Kim, J., Kim, J., Kim, K., Mohaisen, A., & Kim, J. K. (2019). Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. In Proceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019 (pp. 3-4). [8805784] (Proceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSN-S.2019.00007