..
|
advanced
|
grid
|
material
|
static-fl
|
translations
|
websocket
|
Part 01 - The Basic Tools of Private Deep Learning.ipynb
|
Part 02 - Intro to Federated Learning.ipynb
|
Part 03 - Advanced Remote Execution Tools.ipynb
|
Part 04 - Federated Learning via Trusted Aggregator.ipynb
|
Part 05 - Welcome to the Sandbox.ipynb
|
Part 06 - Federated Learning on MNIST using a CNN.ipynb
|
Part 07 - Federated Learning with Federated Dataset.ipynb
|
Part 08 - Introduction to Plans.ipynb
|
Part 09 - Intro to Encrypted Programs.ipynb
|
Part 10 - Federated Learning with Secure Aggregation.ipynb
|
Part 11 - Secure Deep Learning Classification.ipynb
|
Part 12 - Train an Encrypted Neural Network on Encrypted Data.ipynb
|
Part 12 bis - Encrypted Training on MNIST.ipynb
|
Part 13a - Secure Classification with Syft Keras and TFE - Public Training.ipynb
|
Part 13b - Secure Classification with Syft Keras and TFE - Secure Model Serving.ipynb
|
Part 13c - Secure Classification with Syft Keras and TFE - Private Prediction Client.ipynb
|
README.md
|
__init__.py
|