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USENIX Security ’23 Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree
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USENIX Security ’23 Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree

by

Andy Stern
in

Tags: ,

Authors/Presenters:Wen-jie Lu, Zhicong Huang, Qizhi Zhang, Yuchen Wang, Cheng Hong Many thanks to USENIX for publishing their outstanding USENIX Secur…

First seen on securityboulevard.com

Jump to article: securityboulevard.com/2024/08/usenix-security-23-squirrel-a-scalable-secure-two-party-computation-framework-for-training-gradient-boosting-decision-tree/

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