In the evolving landscape of data trading, the need for advanced methods to handle dynamic and diverse datasets has become increasingly crucial. This presentation introduces a novel framework for optimizing portfolio allocations in data trading markets using Autonomous Economic Agents (AEAs). Leveraging federated learning (FL), AEAs collaboratively train models while maintaining data privacy and ownership.
This presentation was given on 4 November 2024 as part of the VTS Webinar Series on Advanced Air Mobility.
This presentation was given on 4 November 2024 as part of the VTS Webinar Series on Advanced Air Mobility. Speaker Bio: Dr. Gürkan Gür is a senior lecturer at Zurich University of Applied Sciences (ZHAW) InIT Information Security Group in Switzerland. He received his Ph.D. in computer engineering in 2013 from Bogazici University in Istanbul, Turkey. His research interests include Future Internet, information security, and 5G and Beyond networks.