Text processing method, model training method and system

The invention discloses a text processing method and a model training method and system. The method comprises the steps that a target client obtains to-be-processed text data; the target client performs natural language processing on the to-be-processed text data by using the text processing model to obtain a text processing result of the to-be-processed text data; the text processing model is deployed in the local target client, the model parameter of the text processing model is a target model parameter sent by the server, and the target model parameter is obtained by aggregating a first model gradient uploaded by the first client and an original model parameter corresponding to the target client by the server. The technical problem that the application of federated learning is limited due to the fact that federated learning in a heterogeneous scene has a large influence on the model performance of a client is solved. 本申请公开了一种文本处理方法、模型训练方法和系统。其中，该方法包括：目标客户端获取待处理文本数据；目标客户端利用文本处理模型对待处理文本数据进行自然语言处理，得到待处理文本数据的文