An Empirical Study of Federated Prompt Learning for Vision Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhihao, Huang, Wenke, Chen, Tian, Shi, Zekun, Wan, Guancheng, Qiao, Yu, Yang, Bin, Wang, Jian, Li, Bing, Ye, Mang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024)
by: Huang, Wenke, et al.
Published: (2024)
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024)
by: Tan, Zihan, et al.
Published: (2024)
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
by: Huang, Wenke, et al.
Published: (2024)
by: Huang, Wenke, et al.
Published: (2024)
S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)
by: Tan, Zihan, et al.
Published: (2025)
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems
by: Shi, Zitong, et al.
Published: (2025)
by: Shi, Zitong, et al.
Published: (2025)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
by: Zhao, Xingyue, et al.
Published: (2025)
by: Zhao, Xingyue, et al.
Published: (2025)
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
by: Chen, Yuhang, et al.
Published: (2024)
by: Chen, Yuhang, et al.
Published: (2024)
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
by: Wu, Bin, et al.
Published: (2025)
by: Wu, Bin, et al.
Published: (2025)
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations
by: Ye, Mang, et al.
Published: (2025)
by: Ye, Mang, et al.
Published: (2025)
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
by: Huang, Wenke, et al.
Published: (2025)
by: Huang, Wenke, et al.
Published: (2025)
A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation
by: Yang, Hao, et al.
Published: (2026)
by: Yang, Hao, et al.
Published: (2026)
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
by: Jia, Yuang, et al.
Published: (2025)
by: Jia, Yuang, et al.
Published: (2025)
EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
by: Fang, Yiyang, et al.
Published: (2026)
by: Fang, Yiyang, et al.
Published: (2026)
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
by: Bi, Jinhe, et al.
Published: (2025)
by: Bi, Jinhe, et al.
Published: (2025)
Mining Multi-Modality Spatio-Temporal Cues for Video Important Person Identification
by: Wang, Xiao, et al.
Published: (2026)
by: Wang, Xiao, et al.
Published: (2026)
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
by: Yang, Sheng, et al.
Published: (2025)
by: Yang, Sheng, et al.
Published: (2025)
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
by: Pan, Bikang, et al.
Published: (2024)
by: Pan, Bikang, et al.
Published: (2024)
FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models
by: Wang, Xucong, et al.
Published: (2026)
by: Wang, Xucong, et al.
Published: (2026)
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
by: Pan, Bikang, et al.
Published: (2024)
by: Pan, Bikang, et al.
Published: (2024)
Integrated Structural Prompt Learning for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)
by: Wang, Jiahui, et al.
Published: (2025)
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
by: Li, Hongxia, et al.
Published: (2024)
by: Li, Hongxia, et al.
Published: (2024)
FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning
by: Zhang, Xiangyu, et al.
Published: (2025)
by: Zhang, Xiangyu, et al.
Published: (2025)
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
by: Rong, Xuankun, et al.
Published: (2025)
by: Rong, Xuankun, et al.
Published: (2025)
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
by: Yang, Haotian, et al.
Published: (2025)
by: Yang, Haotian, et al.
Published: (2025)
Differentiable Prompt Learning for Vision Language Models
by: Huang, Zhenhan, et al.
Published: (2024)
by: Huang, Zhenhan, et al.
Published: (2024)
Harmonizing Generalization and Personalization in Federated Prompt Learning
by: Cui, Tianyu, et al.
Published: (2024)
by: Cui, Tianyu, et al.
Published: (2024)
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts
by: Xu, Xin, et al.
Published: (2026)
by: Xu, Xin, et al.
Published: (2026)
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
by: Fang, Xiuwen, et al.
Published: (2025)
by: Fang, Xiuwen, et al.
Published: (2025)
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
by: Hou, Shihao, et al.
Published: (2025)
by: Hou, Shihao, et al.
Published: (2025)
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis
by: Peng, Yifan, et al.
Published: (2024)
by: Peng, Yifan, et al.
Published: (2024)
Modular Prompt Learning Improves Vision-Language Models
by: Huang, Zhenhan, et al.
Published: (2025)
by: Huang, Zhenhan, et al.
Published: (2025)
Cascade Prompt Learning for Vision-Language Model Adaptation
by: Wu, Ge, et al.
Published: (2024)
by: Wu, Ge, et al.
Published: (2024)
MAPO: Mixed Advantage Policy Optimization
by: Huang, Wenke, et al.
Published: (2025)
by: Huang, Wenke, et al.
Published: (2025)
Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models
by: Tian, Bowei, et al.
Published: (2025)
by: Tian, Bowei, et al.
Published: (2025)
Can AI Write Classical Chinese Poetry like Humans? An Empirical Study Inspired by Turing Test
by: Deng, Zekun, et al.
Published: (2024)
by: Deng, Zekun, et al.
Published: (2024)
An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
by: Cao, Min, et al.
Published: (2025)
by: Cao, Min, et al.
Published: (2025)
Similar Items
-
Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024) -
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024) -
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
by: Liang, Jian, et al.
Published: (2025) -
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
by: Huang, Wenke, et al.
Published: (2024) -
S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)