UvA showcases research at Supercomputing 2024 in Atlanta

At Supercomputing 2024, UvA researchers showcased innovative work on collaborative AI model training. The focus was on vertical federated learning techniques, enabling organizations with diverse datasets to jointly train models without sharing sensitive data.

INDIS 2024 Workshop
On Monday, November 18, the team presented their paper at the INDIS 2024 workshop. Titled “Microservices-based FABRIC Implementation of Collaborative Model Training Scenario with Vertical Federated Learning,” it addressed challenges in using geographically distributed, proprietary data. Leveraging the FABRIC infrastructure and DYNAMOS middleware, the team demonstrated a use case for predicting building energy consumption, inspired by collaborations with Prets. This approach supports sustainable energy adoption and facilitates renovation financing.

SCinet Stage Demo
On Tuesday, November 19, the team showcased a live demo at the SCinet Theater. The demonstration illustrated how the FABRIC network and Vertical Federated Learning can predict energy consumption while preserving data privacy.

Exhibition Floor
From Monday to Thursday, the team was hosted at CIENA’s booth, further demonstrating their work and engaging with visitors from around the world.

Acknowledgements
UvA extends its gratitude to CIENA and Prets for supporting these presentations and demonstrations.

Read more about UvA’s participation in Supercomputing 2024.