Privacy-Preserving Vision Transformers for Edge Computing
Published:Dec 10, 2025 04:37
•1 min read
•ArXiv
Analysis
This ArXiv paper explores a critical intersection of computer vision and privacy, addressing the need for secure AI solutions at the edge. The work likely focuses on balancing model performance with data confidentiality and resource constraints.
Key Takeaways
Reference
“The research focuses on a distributed framework.”