Hamza Safri

Paysage au Japon

From the Iberian sun to the Rising sun for federated learning

News, Research / By

On September 2024, we had the opportunity to attend two international conferences related to a segment of our work in artificial intelligence : Data Training Without Perturbative Adjustments for Predictive Maintenance The FLTA24 took place from September 17 to 19 in Valencia, Spain. As part of this research, we studied a concrete case: predictive maintenance, […]

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Federated Learning, the security asset for local maintenance of your data

In details, Research / By

Predictive maintenance, coupled with the Internet of Things (IoT) and Artificial Intelligence (AI), represents a revolutionary approach to equipment maintenance. Traditionally, maintenance has been performed on a fixed schedule or in response to failures, leading to inefficiencies and downtime. Predictive maintenance aims to address these shortcomings by leveraging IoT sensors and AI algorithms to predict

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Chaire Edge Intelligence

Event / By

Wednesday 6th of Otober, the Chaire Edge Intelligence event will take place at MAIA in Grenoble (France). The topic of this edition is « Learning around connected object data ». This monthly meeting has been created to speak and share, on the one hand, about conception challenges on new automatic learning methods using the EDGE

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thinking, person, person thinking

What is Federated Learning?

Report / By

Nowadays, a massive amount of data is generated by devices such as smartphones and connected objects (IoT). This data is used to train high-performance machine learning (ML) models, making artificial intelligence (AI) present in our daily lives. Data is generally sent to the cloud, where it is stored, processed, and used to train models in

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