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Author

B. Demir

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#machine learning Preprint Sep 2026

FedMAD: Modulation-Aware Directional Aggregation for Federated Learning in Remote Sensing Image Classification

A novel personalized FL framework (denoted as FedMAD) for RS image classification problems that allows the global optimization process to suppress conflicting client updates originating from heterogeneous data distributions while enhancing the contribution of clients with consistent adaptation behaviors.

Barış Büyüktaş, B. Demir · 0 citations
Preprint Aug 2026

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

The first comparative study of VLM adaptation strategies for FL in the context of RS image classification is presented, and a guideline for the selection of an appropriate VLM adaptation strategy in FL for RS image classification under different operational constraints is derived.

Simon Lösche, Barış Büyüktaş, M. Adler et al. · 0 citations

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