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Privacy-Preserving federated learning in medical diagnosis with homomorphic re-Encryption

  • Published:2022-03 Issue: Volume:80 Page:103583
  • ISSN:0920-5489
  • Container-title:Computer Standards & Interfaces
  • language:en
  • Short-container-title:Computer Standards & Interfaces

Author:

Ku Hanchao,Susilo WillyORCID,Zhang Yudi,Liu Wenfen,Zhang Mingwu

Funder

Natural Science Foundation of Guangxi Province

Guangxi Key Research and Development Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Law,Hardware and Architecture,Software

Reference36 articles.

1. A medical healthcare system for privacy protection based on iot;Gong,2015

2. Anomaly detection in smart home operation from user behaviors and home conditions;Yamauchi;IEEE Trans. Consum. Electron.,2020

3. Emerging smart logistics and transportation using iot and blockchain;Humayun;IEEE Internet of Things Magazine,2020

4. Verifiable database supporting keyword searches with forward security;Maio;Computer Standards and Interfaces,2021

5. Public-key encryption with bidirectional keyword search and its application to encrypted emails;Zhang;Computer Standards and Interfaces,2021

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1. A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications;IEEE Transactions on Network and Service Management;2024-08

2. Detection of DDoS attacks in SDN-based VANET using optimized TabNet;Computer Standards & Interfaces;2024-08

3. Mitigating Group Bias in Federated Learning for Heterogeneous Devices;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

4. Privacy preserving and secure robust federated learning: A survey;Concurrency and Computation: Practice and Experience;2024-03-19

5. A Perspective to Cloud Computing in Healthcare Sector;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
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