NCBI PubMed Central
open access
Federated high order tensor fusion for privacy preserving multimodal social media analysis.
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
- HADES: Privacy-Preserving Federated Learning via Selective Feature Encryption and Hybrid Model Fusion#299827
- Turning Privacy-preserving Mechanisms against Federated Learning#177333
- A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy#303025
- A Hybrid Approach to Privacy-Preserving Federated Learning#177268
- Federated learning for privacy-preserving depression detection with multilingual language models in social media posts#673252
Record · ID 160048
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