Gerald Maale's repositories
awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
EchoStateNetwork-Tensorflow
Minimal and Simple Tensorflow implementation of EchoStateNetwork
DeepESN
Deep Echo State Network (DeepESN) Python library
PySyft-TensorFlow
The TensorFlow bindings for PySyft
katana
5G Slice Manager
PySyft
A library for encrypted, privacy preserving deep learning
differential-privacy-federated-learning
Curated notebooks on how to train neural networks using differential privacy and federated learning.
presentation-2019-06-NDCOslo
NDC Oslo 2019
Federated-Learning-1
Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The repository tutorial for using PySyft for distributed training of Machine Learning model.
slicesim
5G Network Slicing Simulation
federated-averaging-tutorials
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
Tensorflow-EchoStateNetwork
Echo state network implementation on tensorflow
reservior
A source code for exploring and evaluating reservior computing technique and dynamics of rnns.
pyESN
Echo State Networks in Python