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Data Governance

Rhino Federated Computing

Federated computing platform for collaborating on sensitive data

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About Rhino Federated Computing

Rhino Health (Rhino Federated Computing) provides a platform for running analytics and AI model training across distributed datasets without centralizing the data, mainly in healthcare and life sciences. Hospitals, researchers and pharma companies use it to collaborate under privacy constraints.

Common use cases

  • Multi-hospital AI training
  • Clinical research
  • Medical imaging models
  • Real-world data analysis

Products and services

Rhino Federated Computing Platform

Federated analytics and model training across sites.

Key features

  • Federated learning
  • Privacy-preserving analytics
  • Data harmonization
  • Model validation
  • Cross-site collaboration

Integrations

  • NVIDIA FLARE
  • AWS
  • Microsoft Azure
  • FHIR-based systems

Rhino Federated Computing alternatives

  • Owkin
  • Lifebit
  • Duality Technologies
  • TripleBlind

FAQs

What problem does it solve?

Lets parties analyze or train on data in place without moving it.

Which industries?

Mainly healthcare and life sciences.

How is it deployed?

Cloud and hybrid.

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