The minisketch library I worked on can be used for near optimal (in the sense of information leak) error correction for "set like" features: https://github.com

The minisketch library I worked on can be used for near optimal (in the sense of information leak) error correction for "set like" features: https://github.com/sipa/minisketch/ https://github.com/sipa/minisketch/ Our application is for communications efficient set reconciliation to convert Bitcoin's quadratic-overhead transaction gossip protocol (O(txn*peers)) to effectively linear (O(txn)), though the primary academic work that our work was based on were concerned with fuzzy extractors for privacy preserving (and encryption key generating) biometrics.