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 …
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
A project that investigated, designed and evaluated different methods to reduce overall up-link communication (client -> server) during federated learning
Simulation of a Federated Learning scenario using Tensorflow Federated
Implementations of Federated Learning - Machine Learning on Decentralized Data.
The aim of this project is to make the assessment and treatment of OCD more accessible and effective.
Implementation of Federated Learning using Graph Neural Networks
🔥 Federated Learning Simplified with Frameworks
Federated ranker privacy preserving personalization prototype.
Capstone project for Master of Science in Data Analytics at CCT college. Title Federated Learning: Evaluating Popular Frameworks and Developing a Cross-Client Horizontal Server.
TensorFlow Federated Examples
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