EP 4381435 A1 20240612 - MACHINE LEARNING COMPUTER SYSTEM ARCHITECTURE
Title (en)
MACHINE LEARNING COMPUTER SYSTEM ARCHITECTURE
Title (de)
COMPUTERSYSTEMARCHITEKTUR FÜR MASCHINELLES LERNEN
Title (fr)
ARCHITECTURE DE SYSTÈME INFORMATIQUE D'APPRENTISSAGE MACHINE
Publication
Application
Priority
- US 202117395014 A 20210805
- US 202117395204 A 20210805
- US 2022074037 W 20220722
Abstract (en)
[origin: WO2023015111A1] Techniques are disclosed in which a computer system receives a transaction request and uses a federated machine learning model to analyze the transaction request. A server computer system may generate a federated machine learning model and distribute portions of the federated machine learning models to other components of the computer system including a user device and/or edge servers. In various embodiments, various components of the computer system apply transaction request evaluation factors to the portions of the federated machine learning model to generate scores. The server computer system uses the scores to determine a response to the transaction request.
IPC 8 full level
G06N 20/00 (2019.01); G06N 3/08 (2023.01)
CPC (source: EP)
G06F 21/44 (2013.01); G06F 21/55 (2013.01); G06N 20/00 (2019.01); G06Q 20/4016 (2013.01); G06N 3/09 (2023.01); G06N 3/098 (2023.01)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
WO 2023015111 A1 20230209; AU 2022323412 A1 20240118; EP 4381435 A1 20240612
DOCDB simple family (application)
US 2022074037 W 20220722; AU 2022323412 A 20220722; EP 22854024 A 20220722