Proximal visual prompt tuning rectifies non-IID client features so analytic least-squares aggregation yields strong one-shot federated classifiers with zero server training cost.
Afl: A single-round analytic approach for federated learning with pre-trained models,
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FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning
Proximal visual prompt tuning rectifies non-IID client features so analytic least-squares aggregation yields strong one-shot federated classifiers with zero server training cost.