An open framework for Federated Learning.
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Updated
Jun 5, 2024 - Jupyter Notebook
An open framework for Federated Learning.
The aim of this project is to make the assessment and treatment of OCD more accessible and effective.
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
A framework for fast federated learning algorithm verification based on Tensorflow (Only suitable for academic research)
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
TensorFlow Federated Examples
🔥 Federated Learning Simplified with Frameworks
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 …
Implementations of Federated Learning - Machine Learning on Decentralized Data.
Simulation of a Federated Learning scenario using Tensorflow Federated
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