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URL: http://github.com/topics/tensorflow-federated

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tensorflow-federated

Here are 6 public repositories matching this topic...

AegisFL is a cloud-native, privacy-preserving federated learning platform. It uses TensorFlow Federated, Differential Privacy, and Secure Aggregation to train models across decentralized clients, ensuring HIPAA/GDPR compliance with cost-optimized Kubernetes deployment and real-time monitoring.

  • Updated Aug 25, 2025
  • Jupyter Notebook
Capstone_MScData_Sept23_SB

Capstone project for Master of Science in Data Analytics at CCT college. Title Federated Learning: Evaluating Popular Frameworks and Developing a Cross-Client Horizontal Server.

  • Updated Sep 27, 2024
  • Jupyter Notebook

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