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

Sherpa.ai proposes a privacy-preserving entity alignment method for vertical federated learning that avoids leaking which samples overlap between parties, addressing a key vulnerability in standard private set intersection protocols used for cross-party ML collaboration.

MentionsSherpa.ai · Federated Learning · Vertical Federated Learning · Private Set Intersection · Private Set Union

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