Privacy-Preserving Technology Using Federated Learning and Blockchain in Protecting against Adversarial Attacks for Retinal Imaging.

Journal: Ophthalmology
PMID: 39424148

Abstract

PURPOSE: Collaboration provides valuable data for robust artificial intelligence (AI) model development. Federated learning (FL) is a privacy-enhancing technology that allows collaboration while respecting privacy via the development of models without raw data transfer. However state-of-the-art FL models still face challenges in non-independent and identically distributed (non-IID) health care settings and remain susceptible to privacy breaches. We propose an FL framework coupled with blockchain technology to address these challenges.

Authors

  • Zhen Ling Teo
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Xiaoman Zhang
    Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Yechao Yang
    Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Liyuan Jin
    Duke-NUS Medical School, Singapore, Singapore.
  • Chi Zhang
    Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Stanley Shuoh Jieh Poh
    Singapore National Eye Centre, Singapore; Singapore Eye Research Institute, Singapore.
  • Weihong Yu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China yuweihongpumch@163.com.
  • Youxin Chen
    Department of Ophthalmology Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences Beijing People's Republic of China.
  • Jost B Jonas
    Department of Ophthalmology, Ruprecht-Karls University of Heidelberg, Heidelberg, Germany.
  • Ya Xing Wang
    Beijing Visual Science and Translational Eye Research Institute (BERI), Eye Center of Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
  • Wei-Chi Wu
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333. weichi666@gmail.com.
  • Chi-Chun Lai
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Rick Siow Mong Goh
    A*STAR, Singapore, Singapore.
  • Daniel Shu Wei Ting
    Singapore National Eye Center, Singapore Eye Research Institute Singapore Health Service Singapore Singapore.

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