Semantic Scholar
metadata only
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
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
- A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends#679331
- Decentralized Federated Learning: A Survey on Security and Privacy#177251
- A comprehensive survey on communication optimization and privacy preservation in federated learning#309954
- Fairness and Privacy-Preserving in Federated Learning: A Survey#177278
- Secure and Privacy-Preserving Vertical Federated Learning#13976
Record · ID 466925
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