Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 24, 2024HeliyonOpen Access

A decentralized federated learning-based cancer survival prediction method with privacy protection

View Full Paper
Ask AI
Bookmark
Share

Authors

HCHua ChaiYHYiqian HuangLXLekai Xu

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Chai et al. (2024) studied this question.

synapsesocial.com/papers/68e6885db6db6435876108a0https://doi.org/10.1016/j.heliyon.2024.e31873
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Federated learning in oncology: bridging artificial intelligence innovation and privacy protection2025
  2. 2Comprehensive benchmarking of federated learning for privacy-preserving multi-disease prediction in healthcare analytics2026
  3. 3Privacy-Preserving Federated Learning for Multi-Institutional Lung Cancer Severity Detection2026 · 2 citations
  4. 4FedLiverNet: a federated learning framework for privacy-preserving and efficient liver cancer detection2026
  5. 5An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer2026 · 1 citations