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Federated Learning with
Tensorflow
Daniyal Shahrokhian
<daniyal@kth.se>
Traditional ML workflow
Tensorflow World 2019 - Krzysztof Ostrowski
Pains and Limitations
- Size of the data
- Maybe too large for our computing infrastructure to process
- Could be solved with horizontal/vertical scaling
- Data privacy
- Maybe data contains sensitive information, or violates user privacy
- Could be solved with Homomorphic Encryption (HE) and Multi-Key Homomorphic
Encryption (MKHE)
Intro to Federated Learning (FL)
Breaking Privacy in Federated Learning - Ahmed Gad (KDnuggets)
Demo
- Jupyter Notebook
- Youtube Video

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Federated Learning with TensorFlow