Simulation of a Federated Learning scenario using Tensorflow Federated
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Updated
Nov 8, 2020 - Python
Simulation of a Federated Learning scenario using Tensorflow Federated
Implementations of Federated Learning - Machine Learning on Decentralized Data.
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 …
🔥 Federated Learning Simplified with Frameworks
TensorFlow Federated Examples
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
A framework for fast federated learning algorithm verification based on Tensorflow (Only suitable for academic research)
Implementation of Federated Learning using Graph Neural Networks
A project that investigated, designed and evaluated different methods to reduce overall up-link communication (client -> server) during federated learning
The aim of this project is to make the assessment and treatment of OCD more accessible and effective.
An open framework for Federated Learning.
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