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
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
Baris Büyüktas, Gencer Sumbul, Begüm Demir
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification: A review
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.