Federated Learning: A decentralized approach to smarter, safer AI

Project blogpost
Federated Learning represents a transformative shift in how Artificial Intelligence (AI) models are developed and deployed.

The MegaM@ Rt2 ECSEL project: MegaModelling at Runtime–Scalable model-based framework for continuous development and runtime validation of complex systems

This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.