DOAJ
open access
FL-DPCSA: Federated learning with differential privacy for cache side-channel attack detection in edge-based smart grids
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
- Privacy-Preserving Federated Learning for Feeder-Level Outage Prediction in Distribution Grids#126957
- Privacy-Preserving Federated Learning for Feeder-Level Outage Prediction in Distribution Grids#126956
- FDIFormer:Protocol-Aware Transformer Learning for False Data Injection Attack Detection in Smart Grid Networks#346437
- Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy#341893
- Towards an Efficient Self-Healing Strategy for Smart Grids#442593
Record · ID 20528
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