DISTRIBUTED PRIVACY-PRESERVING VERIFIABLE COMPUTATION

Patent №

US 11,362,829

Granted

2022-06-14

Filed 2019

Owner

KONINKLIJKE PHILIPS N.V.

Lab

AI components

2

kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16475756

According to an aspect, there is provided a first node for use in a system, wherein the first node is configured to determine a plurality of keys for enabling a computation by a plurality of worker nodes in the system, wherein the computation comprises a plurality of computation parts, wherein the plurality of computation parts comprises one or more types of computation part, and wherein an output from one computation part to another computation part is a shared block; and publish the determined plurality of keys for access by at least one input node in the system, the plurality of worker nodes, and at least one recipient node in the system; wherein the plurality of keys comprises a computation part prove key for each part of the computation; a computation part verification key for each part of the computation; a shared block commitment generation key for each shared block; an input commitment generation key for each input node and computation part combination; and an output commitment generation key for each recipient node and computation part combination. A corresponding method of operating a first node is also provided.

Knowledge representationAI hardwareH04L 9/3218H04L 9/085H04L 9/14H04L 9/3073H04L 2209/46

AI classification

AI hardware1.00
Knowledge representation0.89
Natural language0.18
Machine learning0.10
Planning0.06
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

KONINKLIJKE PHILIPS N.V.

assignment · 496610496

Assignors

VEENINGEN, MEILOF GEERT

On an employer assignment, the assignors are typically the inventors.

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