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data (sequences and associated properties), adapting existing generative architectures (e.g. VAEs and diffusion-based models when appropriate) to the peptide domain, and defining suitable representations
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while protecting data privacy. Unlike traditional centralized machine learning, where data must be collected and stored in a central server, FL allows multiple parties to collaboratively build a global
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