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Protecting Trained Models in Privacy-Preserving Federated Learning

Posted by: Mark Durkee, Joe Near and David Darais, Posted on: 15 July 2024 - Categories: Data, PETs Blogs

Find out how you can protect individual's data after it's been used in training models through output privacy.

Read more of Protecting Trained Models in Privacy-Preserving Federated Learning

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The Responsible Technology Adoption Unit used its blog to share regular updates about its work and publish articles on a range of issues relating to the use of data and AI. The blog is no longer being updated.

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Recent Posts

  • Continuing to drive responsible adoption of technology
  • Privacy-Preserving Federated Learning – Future Challenges and Opportunities 
  • Data protection considerations for implementing federated learning – a regulator’s perspective
  • Introducing the Model for Responsible Innovation
  • Data Pipeline Challenges of Privacy-Preserving Federated Learning

Recent Comments

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  • Dave Buckley on Working with the ICO to encourage the adoption of PETs
  • Gemma on Driving forward trustworthy data sharing
  • sistem informasi on Working with the ICO to encourage the adoption of PETs
  • Nuala Polo on From Roadmap to Reality: Insights from Industry on Advancing AI Assurance

Recent posts

  • Continuing to drive responsible adoption of technology January 22, 2025
  • Privacy-Preserving Federated Learning – Future Challenges and Opportunities  December 18, 2024
  • Data protection considerations for implementing federated learning – a regulator’s perspective November 28, 2024

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