Semantic Scholar
metadata only
Advancing Federated Learning Through Novel Mechanism for Privacy Preservation in Healthcare Applications
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data#984207
- Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective#431425
- Privacy-preserving machine learning: a review of federated learning techniques and applications#964892
- Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey#341891
- Fedlabx: a practical and privacy-preserving framework for federated learning#303023
Record · ID 177288
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive