Continuous learning method for federated learning
A learning method and federated technology, applied in machine learning, instrument, character and pattern recognition, etc., can solve problems such as catastrophic forgetting in complex federated learning systems, achieve the effects of reducing catastrophic forgetting, improving performance, and enhancing learning effects
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[0033] The present invention will be further described below in conjunction with the specific embodiments of the accompanying drawings
[0034] Specific embodiments of the present invention and its implementation process are as follows:
[0035] Step 1: Federated learning must first determine the type of task to be learned. Here, the Chinese news headline classification task is taken as an example. It is assumed that each model learns three news classification tasks in sequence, and each task contains three different types of news data. . After the federated learning system determines the type of learning task, the server and each client collect several Chinese text data that match the task type. Here, it is assumed that the public Chinese social network data set NLPIR is selected as the auxiliary data set, which has been professionally processing, no privacy issues, the data set is randomly divided into four parts, which are used by three clients and one server respectively;...
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