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BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany, Technische Universität Berlin, 10623 Berlin, Germany
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Selecting the right VLM adaptation strategy can drastically improve performance in federated learning for remote sensing, balancing efficiency and generalization.
Increased overcompleteness in sparse autoencoders can actually reduce their interpretability, challenging assumptions about model complexity.
