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of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent
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angle measurements, light and electron microscopy including advanced staining techniques, Raman spectroscopy, mass spectrometry, transcriptomics, transgenics and bioinformatics. This project offers a
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