FLUIDOS explores Secure Federated Learning at the RISE 2025 workshop in Tromsø

FLUIDOS made a high-impact appearance at RISE 2025 (Robotic Systems in the Edge-Cloud Continuum), part of the CCGRID 2025 conference held in Tromsø, Norway — possibly marking FLUIDOS’ northernmost dissemination activity to date, deep into the Arctic Circle!

Representing the FLUIDOS consortium, Eduardo Cánovas Martínez from the University of Murcia presented the paper:
“Secure Federated Learning in Distributed Environments: A Blockchain-Based Approach in Robotic Systems in the Edge-Cloud Continuum”.
This joint effort between researchers from University of Murcia and IBM — including Jose Manuel Bernabé Murcia, Liubov Nedoshivina, Stefano Braghin, and Antonio Skarmeta — focuses on the integration of federated learning, blockchain, and Decentralised Identifiers (DIDs) to ensure privacy, trust, and security in distributed environments.

The presentation sparked insightful questions, especially around the performance of blockchain mechanisms on edge nodes and how DIDs and Verifiable Credentials can support secure and dynamic collaboration in heterogeneous, distributed infrastructures.

Why Federated Learning Matters in FLUIDOS

As data privacy regulations tighten and AI models move closer to the edge, federated learning offers a promising path: enabling local data training without centralising sensitive information. However, deploying such systems across distributed and resource-constrained environments introduces new security challenges. This research presents a blockchain-based solution that enhances trust, accountability, and access control across participating nodes — fully in line with FLUIDOS’ goal to offer secure orchestration across the cloud-edge continuum.

This contribution highlights FLUIDOS’ ongoing commitment to advancing secure and scalable AI techniques at the edge, supporting the project’s broader mission of building a flexible, trustworthy computing continuum.

Learn more about the RISE Workshop: https://rise-workshop.github.io
Visit the CCGRID 2025 website: https://site.uit.no/ccgrid2025/