Intellegens will present at the 3rd World Congress on Artificial Intelligence in Materials & Manufacturing (AIM 2025) in Anaheim, CA. Join the session to hear about advances in applying federated learning that can help materials R&D organisations to collaborate and accelerate innovation while ensuring data security.
If you’re attending the conference, why not contact us to arrange a meeting?
Presentation details
Title: Strength in Uncertainty: Federated Learning for Accelerated Innovation
Authors: Joel Strickland*, Bogdan Nenchev – Intellegens
Abstract:
This work presents a federated learning framework that enables B2B collaboration by aligning machine learning models trained on diverse datasets without the need to merge sensitive data. Using a shared calibration set, the framework standardizes uncertainties across models predicting critical material properties, such as strength, toughness, and hardness. It selects the prediction with the highest confidence for each output, allowing businesses to leverage the strengths of all models simultaneously, even when models have differing inputs and outputs. This approach accelerates innovation by enabling faster, more accurate predictions while eliminating the need for data centralization, reducing costs, and shortening time-to-market. Effective uncertainty management minimizes risks and improves decision-making, crucial in industries where safety and performance are paramount. With robust privacy protections, companies across sectors like automotive, aerospace, and manufacturing can confidently adopt decentralized models, optimize processes, gain a competitive edge, and drive innovation without compromising data security.
