US 11,869,662 B2
Updating learned models
Alberto Gil Ramos, Cambridge (GB); Sourav Bhattacharya, Cambridge (GB); Nicholas Lane, Cambridge (GB); and Fahim Kawsar, Cambridge (GB)
Assigned to NOKIA TECHNOLOGIES OY, Espoo (FI)
Appl. No. 16/954,921
Filed by Nokia Technologies Oy, Espoo (FI)
PCT Filed Dec. 10, 2018, PCT No. PCT/EP2018/084092
§ 371(c)(1), (2) Date Jun. 17, 2020,
PCT Pub. No. WO2019/121083, PCT Pub. Date Jun. 27, 2019.
Claims priority of application No. 17208716 (EP), filed on Dec. 20, 2017.
Prior Publication US 2020/0394465 A1, Dec. 17, 2020
Int. Cl. G16H 50/20 (2018.01); G16H 40/67 (2018.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); G06N 20/00 (2019.01); G06F 18/214 (2023.01)
CPC G16H 50/20 (2018.01) [G06F 18/2148 (2023.01); G06F 18/2155 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01)] 18 Claims
OG exemplary drawing
 
1. An apparatus comprising:
at least one processor; and
at least one memory including computer code,
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform:
receiving, via a local network, a plurality of data sets representing sensed data from one or more devices;
determining, using one or more local learned models, local parameters based on the received data sets;
generating a combined data set by combining the plurality of data sets;
determining, using the one or more local learned models, global parameters based on the combined data set;
causing transmittal of, to a remote system, remote from the apparatus, and via a different network than the local network via which the plurality of the data sets are received, the global parameters for determining updated global parameters using one or more global learned models based at least partially on the global parameters;
receiving, from the remote system, the updated global parameters; and
updating the one or more local learned models using both the local parameters and updated global parameters.