TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
Published:Nov 20, 2025 14:45
•1 min read
•ArXiv
Analysis
This article introduces TOFA, a novel approach for adapting vision-language models in a federated learning setting. The key innovation is the training-free and one-shot nature of the adaptation, which could significantly improve efficiency and reduce communication costs. The focus on federated learning suggests a concern for privacy and distributed data. The use of 'one-shot' implies a strong emphasis on data efficiency.
Key Takeaways
- •TOFA is a training-free method for adapting vision-language models.
- •It operates in a one-shot federated learning setting.
- •The approach aims to improve efficiency and reduce communication costs.
- •Focuses on privacy and distributed data through federated learning.
Reference
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