FEDERATED DECISION TREE LEARNING VIA PRIVATE SET INTERSECTION

FEDERATED DECISION TREE LEARNING VIA PRIVATE SET INTERSECTION

A protocol for federated decision tree learning is provided. In one set of embodiments, this protocol employs a cryptographic technique known as private set intersection (PSI) (and more precisely, a variant of PSI known as quorum private set intersection analytics (QPSIA)) to carry out federated lea...

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Bibliographische Detailangaben
Hauptverfasser: Ben-Itzhak, Yaniv, Golikov, Igor, Vargaftik, Shay, Yanai, Avishay
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Zusammenfassung:A protocol for federated decision tree learning is provided. In one set of embodiments, this protocol employs a cryptographic technique known as private set intersection (PSI) (and more precisely, a variant of PSI known as quorum private set intersection analytics (QPSIA)) to carry out federated learning of decision trees in an efficient and effective manner.