Privacy-preserving collaborative machine learning in biomedical applications-Reference-Cited by-同舟云学术

Privacy-preserving collaborative machine learning in biomedical applications

Published:2022-02-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Kim Wonsuk¹,Seok Junhee¹

Affiliation:

1. Korea University,School of Electrical Engineering,Seoul,South Korea

Funder

Korea Institute for Advancement of Technology

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9722611/9722613/09722703.pdf?arnumber=9722703

Reference57 articles.

1. Secure Multiparty Computation for Privacy Preserving Data Mining

2. Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

3. Federated Learning on Clinical Benchmark Data: Performance Assessment

4. VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers;dai;IEEE Transactions on Knowledge and Data Engineering,2020

5. Federated learning: Strategies for improving communication efficiency;kone?,2016

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