公开(公告)号：US11869662B2

公开(公告)日：2024-01-09

申请号：US16954921

申请日：2018-12-10

Applicant: Nokia Technologies Oy

Inventor： Alberto Gil Ramos ,  Sourav Bhattacharya ,  Nicholas Lane ,  Fahim Kawsar

IPC: G16H50/20 ,  G16H40/67 ,  G16H10/60 ,  G16H50/70 ,  G06N20/00 ,  G06F18/214

CPC classification number: G16H50/20 ,  G06F18/2148 ,  G06F18/2155 ,  G06N20/00 ,  G16H10/60 ,  G16H40/67 ,  G16H50/70

Abstract: Methods and systems are disclosed for updating learned models. An embodiment comprises receiving a plurality of data sets representing sensed data from one or more devices and determining, using one or more local learned models, local parameters based on the received data sets. Another operation may comprise generating a combined data set by combining the plurality of data sets and, determining, using one or more local learned models, global parameters based on the combined data set. Another operation may comprise transmitting, to a remote system, the global parameters for determining updated global parameters using one or more global learned models based at least partially on the global parameters, and receiving, from the remote system, the updated global parameters. Another operation may comprise updating the one or more local learned models using both the local parameters and updated global parameters.

公开(公告)号：US11557898B2

公开(公告)日：2023-01-17

申请号：US16753658

申请日：2018-11-06

Applicant: Nokia Technologies OY

Inventor： Akhil Mathur ,  Sourav Bhattacharya ,  Fahim Kawsar ,  Nicholas Lane ,  Mohammed Alloulah ,  Chulhong Min

IPC: H02J3/00 ,  H02J3/14

Abstract: In one embodiment, the method includes obtaining, by a first processing device, energy demand data representative of the energy consumption of respective tasks of a processing pipeline, obtaining, by the first processing device, battery availability data representative of the available energy of the batteries of other respective processing devices, for respective tasks of the processing pipeline, selecting, by the first processing device, one of the processing devices for executing the task, as a function of the energy demand data and the battery availability data, and controlling, by the first processing device, the execution of the respective tasks on the selected processing devices.

公开(公告)号：US11645520B2

公开(公告)日：2023-05-09

申请号：US16769416

申请日：2017-12-15

Applicant: Nokia Technologies Oy

Inventor： Vincent Tseng ,  Sourav Bhattacharya ,  Nicholas D. Lane

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: This specification describes methods for performing inferencing based on input data, the methods comprising: initialising a neural network based on a set of stored model information, which defines a plurality of orthogonal binary basis vectors which are to be used to implement kernels in one or more hidden layers of the neural network, and plural sets of plural coefficients, each set of plural coefficients corresponding to a respective one of the kernels, wherein each of the coefficients in a given set of coefficients is associated with a respective one of the one or more orthogonal binary basis vectors; passing input data through the neural network such that convolution operations between the kernels and data arriving at the kernels are performed, wherein each of the kernels is implemented using a respective set of coefficients and the orthogonal binary basis vectors with which the coefficients in the set are associated; and outputting data from the neural network, the output data representing an inference corresponding to the input data. The specification also describes methods for generating model information based on which neural networks may be initialised.