联邦学习平台

兼顾合规与敏感性，确保金融机构自样本隐私与外部合作方联合建模，获取外部数据源底层更丰富的特征维度数据，建立内外部数据结合的贷中风控预警，提高投放转化效果和引流新客的风控质量，降低客户时间成本，减轻科技部门负担。

Balancing compliance and data sensitivity, this dataset enables financial institutions to conduct joint modeling with external partners while protecting the privacy of their own sample data, obtain richer underlying feature dimension data from external data sources, establish in-loan risk control early warning systems integrating internal and external data, improve the effectiveness of disbursement conversion and the risk control quality for new customer acquisition, reduce customers' time costs, and alleviate the workload of the technology department.

搜集汇总

背景与挑战

背景概述

联邦学习平台是一个专注于金融风控的数据服务，通过保护数据隐私、保持数据多样性、减少数据传输需求、提供扩展性和灵活性，帮助金融机构提高风控质量和效率。