Model training method, data reconstruction method and electronic equipment

• Main Authors: GAO XINBEN, ZHANG LAN
• Format: Patent
• Language: Chinese; English
• Published: 25.04.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention provides a model training method and device, a data reconstruction method and device, equipment and a storage medium, and can be applied to the technical field of artificial intelligence, in particular to the technical field of distributed machine learning. The method comprises the steps that a first target training sample corresponding to first target label information is determined from a training sample set, the first target label information corresponds to second target label information, and the second target label information is label information corresponding to a second target training sample; inputting the first target training sample into a first pseudo client model to obtain first pseudo intermediate layer output information; inputting the first pseudo intermediate layer output information into a first server model to obtain first output information; and according to the first output information and the first target label information, adjusting model parameters of the first pseudo cli