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Layer-selective rehearsal and rapid recovery strategies can boost model performance in federated learning by over 30% in real-world applications.
Stop optimizing generative engines in isolation: MAGEO learns reusable editing strategies that dramatically improve visibility and citation fidelity across diverse engines.
