PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees
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DOI: 10.1109/tifs.2022.3231784
Abstract: Privacy-preserving decision trees (DTs) in vertical federated learning are one of the most effective tools to facilitate various privacy-critical applications in reality. However, the main bottleneck of current solutions is their huge overhead, mainly due… read more here.
Keywords: efficient two; decision trees; framework; monospace privdt ... See more keywords