Preserving data privacy in Machine Learning pipelines with Federated Learning
FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.
Leveraging Large Language Models for Financial Predictions
FAME project blog
In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.
FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance
IEEE
Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.
The ElasTest Platform: Supporting Automation of End-to-End Testing of Large Complex Applications
The ElasTest Platform: Supporting Automation of End-to-End Testing of Large Complex Applications
SMART-FI: Exploiting Open IoT Data from Smart Cities in the Future Internet Society
Springer Series, Internet of Things Technology, Communication and Computing.
VI Smart Cities Congress - Communications and Projects Book
The Communications Book includes the 77 final communications selected for publication by the Technical Committee of the VI Congress of Smart Cities 2020.MERLON project has been published! Check the page:The publication is online and in Spanish.