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Re-ranking control alone boosts key performance metrics by over 2%, but extending this control to fine ranking yields even greater gains without compromising system stability.
Reducing federated fine-tuning time by over 52% and communication costs by 97% could revolutionize the deployment of large vision models on privacy-sensitive devices.
