FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models
Published in International Conference on Computer Vision (ICCV 2025), 2024
This paper proposes Federated Discrete Prompt Tuning (FDPT) for black-box visual-language models, achieving efficient model fine-tuning while protecting data privacy.
Keywords: Federated Learning, Prompt Learning, Visual-Language Models, Multimodal Learning
Conference Ranking: CCF A
Authors: Jiaqi Wu, Simin Chen, et al.
Recommended citation: Jiaqi Wu, Simin Chen, et al. (2025). "FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models." ICCV 2025. (CCF A)
