DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation-Reference-Cited by-同舟云学术

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DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation

Published:2024-09 Issue: Volume:179 Page:108792
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Yan Chaokun,Yan Haicao,Liang Wenjuan,Yin Menghan,Luo Huimin,Luo Junwei

Funder

Henan Provincial Science and Technology Research Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Self-supervised learning in medicine and healthcare;Krishnan;Nat. Biomed. Eng.,2022

2. Predicting the structure of unexplored novel fentanyl analogues by deep learning model;Zhang;Brief. Bioinform.,2022

3. Network-based prediction of protein function;Sharan;Mol. Syst. Biol.,2007

4. CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images;Hussain;Chaos Solitons Fractals,2021

5. Handling privacy-sensitive medical data with federated learning: Challenges and future directions;Aouedi;IEEE J. Biomed. Health Inf.,2023

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