RESOURCE ALLOCATION METHOD, APPARATUS AND SYSTEM BASED ON FEDERATED LEARNING

WIPO Patent Application WO/2023/134181

A1

The present disclosure provides a resource allocation method, apparatus and system based on federated learning. The method comprises: reading preset resource allocation configuration information; obtaining model demand information provided by a plurality of model demanders, the resource allocation configuration information comprising attribute configuration information, contribution degree configuration information and monitoring configuration information, and determining a target demander according to the attribute configuration information and the model demand information; determining a plurality of target resource contributors matched with the model demand information, and obtaining model resources of each target resource contributor; and determining an allocation value corresponding to each target resource contributor according to the attribute configuration information, the contribution degree configuration information, the monitoring configuration information and the model resources. According to the present disclosure, each target resource contributor can obtain the allocation value matched with the model resources provided by the target resource contributor, the enthusiasm of the resource contributor to provide model resources is stimulated, and long-term good sustainable development of federated learning is facilitated.

LIU JIA (CN)
LI ZENGXIANG (CN)

PCT/CN2022/117168

July 20, 2023

September 06, 2022

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ENNEW ICOME INTERNET TECH CO LTD (CN)

G06Q10/06

CN112784994A	2021-05-11
CN112650583A	2021-04-13
US20050171786A1	2005-08-04
US20210133663A1	2021-05-06

BEIJING JIAKE INTELLECTUAL PROPERTY LAW FIRM (CN)

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