公开(公告)号：US20250147753A1

公开(公告)日：2025-05-08

申请号：US18939097

申请日：2024-11-06

Applicant: Nokia Technologies Oy

Inventor： Serhan Gul ,  Homayun Afrabandpey ,  Saba Ahsan ,  Hamed Rezazadegan Tavakoli ,  Igor Danilo Diego Curcio ,  Gazi Karam Illahi

IPC: G06F8/658 ,  G06N5/04

Abstract: In accordance with example embodiments of the invention there is at least a method and apparatus to perform executing a machine learning inference loop of a currently deployed or stored at least one machine learning model, wherein the currently deployed or stored at least one machine learning model is identified based on a manifest file received from a communication network; based on determined factors, requesting from the communication network a model update to trigger the model update for use with the currently deployed or stored at least one machine learning model; based on the request, receiving information from the communication network comprising the model update; and based on the information, performing a model update to update the currently deployed or stored at least one machine learning model. Further, receiving, based on determined factors, from a user equipment a communication to trigger a machine learning model update for use with a currently deployed or stored at least one machine learning model at the user equipment; based on the communication, determining information comprising the model update; based on the determining, sending towards the client the information comprising the model update for a model update to update the currently deployed or stored at least one machine learning model.

公开(公告)号：US20220335269A1

公开(公告)日：2022-10-20

申请号：US17717729

申请日：2022-04-11

Applicant: Nokia Technologies Oy

Inventor： Honglei Zhang ,  Hamed Rezazadegan Tavakoli ,  Francesco Cricri ,  Homayun Afrabandpey ,  Goutham Rangu ,  Emre Baris Aksu

IPC: G06N3/02

Abstract: An apparatus includes circuitry configured to: receive a plurality of compressed residual local weight updates from a plurality of respective institutes with a plurality of a respective first parameter, the first parameter used to determine a plurality of respective predicted local weight updates; determine a plurality of local weight updates or a plurality of adjusted local weight updates based on the plurality of compressed residual local weight updates and the plurality of respective predicted local weight updates; aggregate the plurality of determined local weight updates or the plurality of adjusted local weight updates to generate an intended global weight update, and update a model on a server based at least on the intended global weight update, the model used to perform a task; and transfer a compressed residual global weight update to the institutes with a second parameter, the second parameter used to determine a predicted global weight update.

公开(公告)号：US20230232015A1

公开(公告)日：2023-07-20

申请号：US18097579

申请日：2023-01-17

Applicant: Nokia Technologies Oy

Inventor： Homayun Afrabandpey ,  Hamed Rezazadegan Tavakoli ,  Francesco CricrÌ ,  Honglei Zhang ,  Goutham Rangu

IPC: H04N19/147 ,  H04N19/50 ,  H04N19/12 ,  H04N19/105

CPC classification number: H04N19/147 ,  H04N19/50 ,  H04N19/12 ,  H04N19/105

Abstract: An apparatus comprising: at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive a signal, the signal comprising a sparse signal; perform residual coding on the signal; perform predictive coding on the signal; determine a residual, the residual comprising a residual of the signal and a base signal or a residual of an approximation and the base signal, the approximation being an approximation of the signal; and determine whether to transmit the residual or the signal over a communication channel.