DPSR: Differentially Private Sparse Reconstruction via Multi-Stage Denoising for Recommender Systems
Published:Dec 22, 2025 00:43
•1 min read
•ArXiv
Analysis
This article introduces a method called DPSR for building recommender systems while preserving differential privacy. The approach uses multi-stage denoising to reconstruct sparse data. The focus is on balancing utility (recommendation accuracy) and privacy. The paper likely presents experimental results demonstrating the effectiveness of DPSR compared to other privacy-preserving techniques in the context of recommender systems.
Key Takeaways
- •DPSR is a new method for building privacy-preserving recommender systems.
- •It uses multi-stage denoising for sparse data reconstruction.
- •The goal is to balance recommendation accuracy and privacy.
- •The paper likely presents experimental results.
Reference
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