US 12,205,034 B2
Method, electronic device, and computer program product for data processing utilizing separable multi-stage data processing model in edge-cloud network
Zijia Wang, WeiFang (CN); Jiacheng Ni, Shanghai (CN); Qiang Chen, Shanghai (CN); and Zhen Jia, Shanghai (CN)
Assigned to EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed by EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed on Apr. 14, 2021, as Appl. No. 17/230,460.
Claims priority of application No. 202110274593.0 (CN), filed on Mar. 15, 2021.
Prior Publication US 2022/0292361 A1, Sep. 15, 2022
Int. Cl. G06N 3/082 (2023.01); G06F 40/30 (2020.01)
CPC G06N 3/082 (2013.01) [G06F 40/30 (2020.01)] 19 Claims
OG exemplary drawing
 
1. A method for data processing, comprising:
processing data at a first electronic device and based on a first data processing model to generate an initial result, a data size of the initial result being smaller than a data size of the data, the first electronic device comprising an edge device of an edge portion of an edge-cloud network, the edge device being coupled between a user device and a cloud portion of the edge-cloud network; and
sending the initial result to a second electronic device, the initial result being adjusted at the second electronic device and based on a second data processing model to generate an adjusted result, the second electronic device comprising a cloud device of the cloud portion of the edge-cloud network;
wherein the second electronic device has more computing resources than the first electronic device, the second data processing model occupies more computing resources than the first data processing model, and an accuracy of the adjusted result is higher than that of the initial result; and
wherein the first and second electronic devices are deployed in the respective edge and cloud portions of the edge-cloud network and implement the respective first and second data processing models as respective first and second sequential stages of a separable multi-stage data processing model, the first sequential stage comprising a sensing stage of the separable multi-stage data processing model and the second sequential stage comprising a fine-adjusting stage of the separable multi-stage data processing model.