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Whitepaper by Lifehub, NVIDIA and Quantiphi

Scaling Federated Learning Operations for Collaborative Healthcare and Lifesciences R&D Using Multi-Cloud Strategy

 

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Leveraging Federated Learning for Collaboration Across Clouds

Enabling large machine learning initiatives across global datasets has been challenging in the Healthcare industry due to regulatory challenges. Traditional approaches fail to counter the increased concern of regional bias and the increasing complexity of data. A Federated learning approach is imperative for accelerating the use of AI in healthcare.

Download this whitepaper to know about:

  • Growing sensitivity of healthcare data handling
  • Challenges associated with training large-scale & global models
  • The need for a decentralized machine learning approach
  • Enabling a Framework for the Implementation of Federated Learning

DOWNLOAD WHITEPAPER


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The Quantiphi and LifeHub partnership

The partnership between Quantiphi and LifeHub UK, an innovations center within Bayer, establishes methodologies to optimize processes, develop compliant solutions and scale SaMD applications to enhance enterprise-level journeys. This initiative explores the abilities of SaMD and other technologies that assist in monitoring patient health, detecting and diagnosing diseases, and patient-doctor connects in an efficient, and cost-effective manner.  

About Quantiphi

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer.

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