TrajSyn: Privacy-Preserving Dataset Distillation for Federated Model Training
Published:Dec 17, 2025 06:29
•1 min read
•ArXiv
Analysis
The paper presents TrajSyn, a novel method for distilling datasets in a privacy-preserving manner, crucial for server-side adversarial training within federated learning environments. The research addresses a critical challenge in secure and robust AI, particularly in scenarios where data privacy is paramount.
Key Takeaways
Reference
“TrajSyn enables privacy-preserving dataset distillation.”