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https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space/blog-series

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Information Technology LaboratoryApplied Cybersecurity Division

## Privacy Engineering Program

-  About  Expand or Collapse    -  Meet the Team 
-  Collaboration Space  Expand or Collapse    -  Operating Rules  Expand or Collapse      -  Moderators 
  -  Contribute to Focus Areas  Expand or Collapse      -  Contribution Instructions 
  -  Disassociability  Expand or Collapse      -  Tools 
    -  Use Cases 
  -  Privacy Risk Assessment  Expand or Collapse      -  Tools 
    -  Use Cases 
  -  Challenges  Expand or Collapse      -  Collaborative Challenges 
    -  Prize Challenges 
  -  Blog Series  Expand or Collapse      -  Differential Privacy 
    -  Privacy-Preserving Federated Learning 
-  Resources 
-  Events 
-  Get Involved 

## Connect with us

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# Blog Series

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### Differential Privacy

Credit:

This series is designed to help business process owners and privacy program personnel understand basic concepts about differential privacy and applicable use cases and to help privacy engineers and IT professionals implement various tools.

### 

### Privacy-Preserving Federated Learning

Credit:

This series focuses on federated learning, an approach that addresses the fundamental privacy challenge of traditional machine learning by avoiding the centralized collection of training data.

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