System for generating synthetic data used for training artificial intelligence models, preserving privacy of data, secure data sharing, financial services or institutions, has memory communicatively coupled to processor, where memory stores processor-executable instructions
	GNANASEKARAN T; DOTRIS H S; SWATHIKA N; DAS R; NAGARAJA N P; GANESARAJA R
	2023-10-14
专利权人	EDGEVERVE SYSTEMS LTD (EDGE-Non-standard)
申请日期	2023-10-14
专利号	IN202341069319-A
成果简介	NOVELTY - The system has a memory communicatively coupled to a processor, where the memory stores processor-executable instructions. The processor applies a set of transformations on primary data to obtain a latent space, where the latent space is indicative of a relative distribution of features in the primary data, set of samples is generated based on the sampling performed on the space. The processor generates secondary data by using a loss function and stores synthetic data in a database (104) based on secondary data and primary data, where the database is a relational database. USE - System for generating a synthetic data used for training artificial intelligence (AI) models, preserving privacy of data, secure data sharing, financial services or institutions. ADVANTAGE - The synthetic data is utilized to share relevant information without sharing the sensitive data in the financial institutions. The system generates privacy preserving synthetic data in real-time to reduce the processing time of the generative models. The system calculates loss function based on the secondary data and the primary data, and the processor generates the synthetic data by use of the loss function. The system is configured to generate a set of samples based on sampling performed on the latent space, and generates secondary data based on the sample and a defined input, where the defined input is associated with a number of data points required in the generated synthetic data, which may be used for training artificial intelligence (AI) models, preserving privacy of data, secure data sharing, financial services or institutions, and enhanced cross-institutional analysis. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for generating synthetic data. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a system for generating a synthetic data used for training AI models. 100Environment 102System 104Database 106User device 108Communication network
IPC 分类号	G06F-016/25 ; G06F-016/28 ; G06N-003/04 ; G06N-003/08 ; H04W-084/18
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19962
专题	中国科学院新疆生态与地理研究所
作者单位	EDGEVERVE SYSTEMS LTD (EDGE-Non-standard)
推荐引用方式 GB/T 7714	GNANASEKARAN T,DOTRIS H S,SWATHIKA N,et al. System for generating synthetic data used for training artificial intelligence models, preserving privacy of data, secure data sharing, financial services or institutions, has memory communicatively coupled to processor, where memory stores processor-executable instructions. IN202341069319-A[P]. 2023.

条目包含的文件
条目无相关文件。

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。