Encrypted Deep Learning Library
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Updated
Dec 13, 2017 - Python
Encrypted Deep Learning Library
Phase 2
See new version https://github.com/mccorby/PhotoLabeller
Interoperable and decentralized machine learning.
a gentle introduction to decentralized ai
Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller
Interoperable and decentralized machine learning.
Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer
Openmined API exploration
tf implementation of federated learning
Infrastructures™ for Machine Learning Training/Inference in Production.
Bayesian Nonparametric Federated Learning of Neural Networks
My experiments on federated learning as done along with learning it on Udacity
Implementation of federated learning on Android devices. Please find more details in the following blog post. (in Chinese)
An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.
My write up for Facebook Secure and Private AI Udacity Scholarship
Secure and Private AI Scholarship Challenge Udacity
The premise of this challenge is to build a habit of practicing new skills by making a public commitment of practicing the topics of Secure and Private AI program every day for 60 days.
The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)
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