FEDERATED LEARNING METHOD AND DEVICE

WIPO Patent Application WO/2023/029944

A1

A federated learning method and device. The method comprises: obtaining N operators from an operator library according to a target federated learning task (S110), the operator library comprising K operators associated with federated learning, N and K being an integer greater than 1, and N being less than or equal to K; compounding multiple operators in the N operators to obtain a first composite operator (S120); processing a first dataset by means of the first composite operator to obtain a second dataset (S130), the first dataset being a training set for a target federated learning; and using the second dataset to perform federated learning to obtain a first federated learning model (S140). In the method, by means of a cascade meta-learning structure, an output method combination structure can be adapted to the problem of optimizing an actual scene of federated learning, so as to improve the efficiency and quality of federated learning.

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ZHENG ZIMU (CN)
LI RAN (CN)
SUN MING (CN)
SHAN YUXIN (CN)
PU JIE (CN)
MA JIANWEI (CN)

PCT/CN2022/112055

March 09, 2023

August 12, 2022

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HUAWEI CLOUD COMPUTING TECH CO LTD (CN)

G06N20/00

WO2021158313A1

2021-08-12

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CN113052334A	2021-06-29
CN112464287A	2021-03-09
CN112598121A	2021-04-02
CN112257876A	2021-01-22

LONGSUN LEAD IP LTD. (CN)

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