Articles, project updates, and technical guidance on data federation in health research. Covering the Aridhia Federated Node, DARE UK TREvolution, federated learning with Flower AI, and the practical challenges of running analytical tasks across distributed datasets without centralising sensitive data.
Aridhia DRE as a federated Trusted Research Environment. Ross Stiven maps DARE UK and Flower implementations against the Federated Research Patterns Framework.
No single cardiac centre holds enough data for reliable AI. Orrum and Aridhia are addressing that with federated infrastructure across global surgical centres.
Aridhia updates its DARE UK TREvolution work, advancing user-friendly federated data tools for secure, cross-TRE research collaboration.
Accelerate secure federated learning using Aridhia DRE and Flower to build production‑ready, privacy‑preserving multi‑site ML networks in days.
Latest PHEMS progress, from Federated Node updates to network onboarding and the emerging audit and controls framework.
Aridhia shows DRE workspaces can act as federated infrastructure and plans organisational FN ownership in 2026 to enable scalable, self‑service data federation.
Aridhia joins DARE UK’s TREvolution to advance TES‑based data federation, aiming to use DRE workspaces as scalable, self‑service federated infrastructure.
Federated Node AI tests with SLMs for prompt‑based federated analysis showing FN can relay prompts, run tasks & return results while exploring future workflows
We joined the 2025 PHEMS conference, demoed federated cardiology benchmarking, gathered deployment feedback, and now advance ML and AWS‑ready node updates.
Aridhia releases Federated Node V1.0, a lightweight, secure, standards‑based tool for federated analysis with Git integration and broad database support.
How the Aridhia DRE enables secure, efficient data sharing across the PHEMS federated network to support faster, collaborative emergency medical research.
Exploring how federated analysis improves privacy and enables secure, trustworthy access to COVID‑19 research data.
