Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning-Reference-Cited by-同舟云学术

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Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning

Published:2024-11 Issue: Volume:160 Page:171-184
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

He Tianyu^ORCID,Han Peiyi,Duan Shaoming,Wang Zirui,Wu Wentai^ORCID,Liu Chuanyi^ORCID,Han Jianrun

Publisher

Elsevier BV

Reference46 articles.

1. Classification, ontology, and precision medicine;Haendel;N. Engl. J. Med.,2018

2. Clinical-grade detection of microsatellite instability in colorectal tumors by deep learning;Echle;Gastroenterology,2020

3. Synthetic data in machine learning for medicine and healthcare;Chen;Nat. Biomed. Eng.,2021

4. The impact of site-specific digital histology signatures on deep learning model accuracy and bias;Howard;Nat. Commun.,2021

5. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

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