Springer Nature OA
open access
CC BY-NC-ND 4.0
Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring
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
- Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring.#645552
- “If security is required”: Engineering and Security Practices for Machine Learning-based IoT Devices#134019
- Physically Unclonable Functions for Secure IoT Authentication and Hardware-Anchored AI Model Integrity#128222
- CVE-2026-26950 — HIGH 8.1#1001436
- Lightweight and Energy-Aware Intrusion Detection for Industrial IoT Using TinyML and Edge AI.#284968
Record · ID 382981
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