Exploring privacy-preserving techniques for entity alignment in vertical partitioned data in federated learning

The blog post discusses privacy-preserving techniques for entity alignment in vertically partitioned data in federated learning, highlighting challenges, methods like private set intersection and Bloom filters, and the balance between information leakage and performance in protecting input privacy.

https://www.nist.gov/node/1847391