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on-device-learning

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Ankan-Das / AegisFL

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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.

python machine-learning deep-learning simulation tensorflow differential-privacy edge-computing distributed-training emnist federated-learning privacy-preserving-ml tensorflow-federated on-device-learning
  • Updated Aug 18, 2025
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