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IACR Cryptology ePrint Archive
We present a novel protocol XORBoost for both training gradient boosted tree models and for using these models for inference in the multiparty computation (MPC) setting. Similarly to , our protocol is the first one supporting training for generically split datasets (vertical and horizontal splitting, or combination of those) while keeping all the information about the features and thresholds associated with the nodes private, thus, having only the depths and the number of the binary trees asdblp:journals/iacr/DeforthDGGJV21 fatcat:g4xzktlbhngkpnissezbn366ga