This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Ethics, Privacy, and Legal Issues (617) Machine Learning (2076)

Published on in Vol 4, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17265, first published .
Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation

Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation

Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation

Authors of this article:

Rulin Shao1 Author Orcid Image ;   Hongyu He2 Author Orcid Image ;   Ziwei Chen3 Author Orcid Image ;   Hui Liu4 Author Orcid Image ;   Dianbo Liu5 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Ficek J, Wang W, Chen H, Dagne G, Daley E. Differential privacy in health research: A scoping review. Journal of the American Medical Informatics Association 2021;28(10):2269 View
  2. Prayitno , Shyu C, Putra K, Chen H, Tsai Y, Hossain K, Jiang W, Shae Z. A Systematic Review of Federated Learning in the Healthcare Area: From the Perspective of Data Properties and Applications. Applied Sciences 2021;11(23):11191 View
  3. Joshi M, Pal A, Sankarasubbu M. Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges. ACM Transactions on Computing for Healthcare 2022;3(4):1 View
  4. Oh W, Nadkarni G. Federated Learning in Health care Using Structured Medical Data. Advances in Kidney Disease and Health 2023;30(1):4 View
  5. Punitha S, Preetha K. Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Kanhegaonkar P, Prakash S. Data Fusion Techniques and Applications for Smart Healthcare. View

Conference Proceedings

  1. Naveena C, Ajay B, Kumar C, Bhoomika B, Bhoomika G, Sanjana B. 2025 6th International Conference on Recent Advances in Information Technology (RAIT). Enhancing Arrhythmia Classification using Machine Learning on High-Dimensional EHR Data View