TensorFlow Federated Examples
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Updated
Apr 20, 2022 - Jupyter Notebook
TensorFlow Federated Examples
Implementations of Federated Learning - Machine Learning on Decentralized Data.
A project that investigated, designed and evaluated different methods to reduce overall up-link communication (client -> server) during federated learning
Implementation of Federated Learning using Graph Neural Networks
🔥 Federated Learning Simplified with Frameworks
A framework for fast federated learning algorithm verification based on Tensorflow (Only suitable for academic research)
The aim of this project is to make the assessment and treatment of OCD more accessible and effective.
Simulation of a Federated Learning scenario using Tensorflow Federated
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based services and applications are available for the users at any time and everywhere. Understanding human mobility has gain importance to offer better services …
An open framework for Federated Learning.
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