2026
Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
ICML 2026poster
Visual Prompt Tuning (VPT) of pre-trained Vision Transformers (ViTs) has proven highly effective as a parameter-efficient fine-tuning technique for adapting large models to downstream tasks with limited data. Its parameter efficiency makes it particularly suitable for Federated Learning (FL), where …