EP 4384947 A1 20240619 - SYSTEMS AND METHODS TO OPTIMIZE TRAINING OF AI/ML MODELS AND ALGORITHMS
Title (en)
SYSTEMS AND METHODS TO OPTIMIZE TRAINING OF AI/ML MODELS AND ALGORITHMS
Title (de)
SYSTEME UND VERFAHREN ZUR OPTIMIERUNG DES TRAININGS VON KI/ML-MODELLEN UND ALGORITHMEN
Title (fr)
SYSTÈMES ET PROCÉDÉS POUR OPTIMISER L'ENTRAÎNEMENT DE MODÈLES ET D'ALGORITHMES D'IA/AA
Publication
Application
Priority
- US 202163232705 P 20210813
- EP 2022072496 W 20220810
Abstract (en)
[origin: WO2023017102A1] Systems and methods are disclosed that relate to optimization of Machine Learning (ML) or Artificial Intelligence (AI) models or algorithms. In one embodiment, a method performed by first network node comprises receiving, from at least one other network node, at least one message comprising: (a) a set of one or more historical data associated to an AI or ML (AI/ML) model or algorithm; (b) indications of at least a performance metric associated to the AI/ML model or algorithm for which optimization is desirable; and (c) instructions or recommendations to (i) re-train the AI/ML model or algorithm, update the AI/ML model or algorithm, optimize the AI/ML model or algorithm, or replace the AI/ML model or algorithm with a new AI/ML model or algorithm, (ii) to test/validate at least one AI/ML model, or (iii) both (i) and (ii). The method further comprises performing one or more actions with respect to the AI/ML model or algorithm based on information comprised in the at least one message. In this manner, the AI/ML model or algorithm can be optimized by, e.g., optimizing the associated training function and/or the based on drifts in the data distribution of dataset when the data collected for the AI/ML model or algorithm is not co-located with the node hosting the training function.
IPC 8 full level
G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01)
CPC (source: EP)
G06N 3/088 (2013.01); G06N 3/09 (2023.01); G06N 3/092 (2023.01); G06N 3/044 (2023.01); G06N 3/0464 (2023.01); G06N 20/00 (2019.01)
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)
DOCDB simple family (application)
EP 2022072496 W 20220810; EP 22765043 A 20220810