A federated learning method combines client-specific orthogonal transformations on frozen black-box foundation model embeddings with a shared classifier, outperforming baselines on several domain-shift benchmarks.
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Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations
A federated learning method combines client-specific orthogonal transformations on frozen black-box foundation model embeddings with a shared classifier, outperforming baselines on several domain-shift benchmarks.