公开(公告)号：US20240152755A1

公开(公告)日：2024-05-09

申请号：US18491462

申请日：2023-10-20

Applicant: Nokia Technologies Oy

Inventor： Mohammad MALEKZADEH ,  Akhil MATHUR

IPC: G06N3/08 ,  G06N5/04

CPC classification number: G06N3/08 ,  G06N5/04

Abstract: An apparatus comprising: means for providing a first secret and data as inputs to a trained neural network to produce an output by inference; means for sending the output from the trained neural network to a remote server; means for receiving in reply from the server, an encoded label; means for using a second secret to decode the encoded label to obtain a label for the data.

公开(公告)号：US20240273404A1

公开(公告)日：2024-08-15

申请号：US18417351

申请日：2024-01-19

Applicant: Nokia Technologies Oy

Inventor： Shohreh DELDARI ,  Dimitrios SPATHIS ,  Akhil MATHUR ,  Mohammad MALEKZADEH

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Apparatus comprising means for: obtaining a first data sample and a second data sample; transforming the first data sample into a first feature embedding using a first machine learning model; transforming the second data sample into a second feature embedding using a second machine learning model; and generating a first global representation by masking at least one of: the first feature embedding or the second feature embedding. The apparatus further comprising means for: transforming the first global representation into a third feature embedding using a third machine learning model; and training at least the third machine learning model based on the third feature embedding.

公开(公告)号：US20240144009A1

公开(公告)日：2024-05-02

申请号：US18489347

申请日：2023-10-18

Applicant: Nokia Technologies Oy

Inventor： Fan MO ,  Soumyajit CHATTERJEE ,  Mohammad MALEKZADEH ,  Akhil MATHUR

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A terminal apparatus comprising capturing data, transmitting information indicative of computational resources available at the apparatus for neural network training, receiving an encoder, defining one or more layers of artificial neurons, to be used as an input portion of a neural network receiving a predictor, defining one or more layers of artificial neurons, to be used as an output portion of the neural network; training the predictor, not the encoder, using at least some of the captured data; and performing inference on captured data using the neural network formed from the encoder and the predictor.

公开(公告)号：US20250156763A1

公开(公告)日：2025-05-15

申请号：US18944800

申请日：2024-11-12

Applicant: Nokia Technologies Oy

Inventor： Ryuhaerang CHOI ,  Soumyajit CHATTERJEE ,  Dimitrios SPATHIS ,  Mohammad MALEKZADEH

IPC: G06N20/00

Abstract: Example embodiments may relate to systems, methods and/or computer programs for reusing data for training machine learning models. In an example, an apparatus comprises means for receiving a request to collect new user data for training a machine learning model associated with an application. The apparatus may also comprise means for identifying existing stored data suitable for training the machine learning model based upon an ontology. The apparatus may also comprise means for providing access to the identified existing stored data in response to identifying that the data is suitable for training the machine learning model.

公开(公告)号：US20250021822A1

公开(公告)日：2025-01-16

申请号：US18768285

申请日：2024-07-10

Applicant: Nokia Technologies Oy

Inventor： Soumyajit CHATTERJEE ,  Mohammad MALEKZADEH

IPC: G06N3/0895

Abstract: A process for labelling of a time-series of un-labelled data for self-supervised training of a machine learning by analyzing the time series of un-labelled data to identify transition points where there is a change, in the time series, of the un-labelled data that exceeds a defined threshold value, segmenting the time-series of un-labelled data into segments at the transition points, identifying multiple features in the time-series of un-labelled data, and performing clustering of the identified features, segment-by-segment, to provide a label for a segment, segment-by-segment.