Baris Büyüktas
Baris Büyüktas
Doctoral Researcher
Research project: “Novel Federated Learning Methods for Efficient, Effective and Privacy- Sensitive Earth Observation”
B.Sc. degree in Electrical & Electronics Engineering, Ozyegin University (2018)
- remote sensing
- federated learning
- computer vision
Simon Lösche, Barış Büyüktaş, Mathis Adler, Angelos Zavras, Ioannis Papoutsis, Begüm Demir
On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing
Büyüktaş, Barış
Advanced federated learning methods for the analysis of remote sensing images across decentralized and unshared archives
Barış Büyüktaş, Jonas Klotz, Begüm Demir
FedX: Explanation-Guided Pruning for Communication-Efficient Federated Learning in Remote Sensing
Barış Büyüktaş, Gencer Sumbul, Begüm Demir
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification
Jonas Klotz, Barış Büyüktaş, Begüm Demir
Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification
Researcher Spotlight: Dr. Barış Büyüktaş
Petabytes of satellite data circle the Earth, locked in silos by legal and technical walls. Dr. Barış Büyüktaş is using federated learning to break them down, turning a scattered mountain of Earth observation data into a treasure trove for understanding our changing planet.