End-to-End Security Enforcement on Packet and Optical Transport Providers in Untrustworthy Multi-stakeholder Scenario
25th International Conference on Transparent Optical Networks (ICTON 2025)
(TO BE PUBLISHED SOON) This paper introduces a new service and security orchestration solution designed to help operators and security providers establish a trust-based relationship in a multi-stakeholder environment.
A case study on FAME Marketplace for unlocking customer behavioral insights
FAME project - blog
This blogpost explains how the FAME Marketplace offers pre-built analytical tools for effective customer segmentation, and explore two use cases: improving financial recommendations and developing loyalty programs for parking in Athens.
C4 Model: A Research Guide for Designing Software Architectures
8th International Conference on Software and System Engineering (ICoSSE 2025), Nice, France
Given nowadays increasing complexity of software systems, their architectural design prior to their actual implementation becomes quite complicated.
Unlocking efficiency with Marketplace Assets: a case study on FAME Marketplace
FAME project - blog
In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models.
6GSMART-ICC: A Cloud-Continuum ORChestrator (CORC)
Project 6G SMART blog at i2CAT Foundation website
Nowadays, to meet the demands of Industry 4.0, a seamless convergence between the different cloud domains (edge, edge and cloud) is key for industries to have a cloud-native intelligent orchestration layer capable of establishing the necessary mechanisms to ensure continuity of services as data m
Importance of cloud continuum service orchestration in industrial environments
Project 6GSMART blog
In industrial environments, cloud services and the Internet of Things (IoT) converge, with the need to manage complex and diverse computing environments for service and infrastructure providers, a process called cloud continuum.
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.
Security and Trust in Open and Disaggregated 6G networks
24th International Conference on Transparent Optical Networks (ICTON), Bari (Italy)
Telecommunication networks are undergoing a significant shift from closed and proprietary systems towards open and interoperable networks. This transition allows for greater flexibility and reduced dependence on single providers.
Flexible robots for intelligent automation of precision agriculture operations
CORDIS - EU Research Results
Artificial intelligence helps coordinate precision agriculture tasks
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.