Verteiltes Maschinenlernen für Zwischengespeicherte Datengültigkeit

Details

Veröffentlichungs-Nr.

EP3771998

Aktenzeichen

EP20188834

Anmeldetag

31. Juli 2020

Veröffentlichung

1. Dezember 2021

Erteilung

1. Dezember 2021

Rechtsraum

EP

IPC

G06F16/9032G06F16/2455

Abstract

Database queries are processed by a first client storing cached data. The first client and a second client host a probabilistic model yielding validity values associating with the cached data indicating a probability that the cached data stored coincides with corresponding original data. The first client randomly selects queries at the time the respective query is received from one of the plurality of clients. For each of the queries randomly selected, a first piece of the cached data stored at the first client and matching the randomly selected query is retrieved, and a first piece of the original data matching the randomly selected query from the at least one original data source is retrieved. The probabilistic model is adapted using a machine learning algorithm based on the retrieved first piece of the cached data and the retrieved first piece of the original data and made available to the second client.

Anmelder

Firma

Amadeus S.A.S.

Land

🇫🇷 Frankreich

Fachgebiete