Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

In three linesSherpa.ai introduces a multi-party protocol for privacy-preserving entity alignment in vertical Federated Learning. The method hides intersection membership while enabling exact and typo-tolerant matching, without revealing which samples are shared across parties.

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