Abstract: Federated learning is an emerging machine learning framework, which is commonly used in the structure of distributed machine learning due to its characteristic of “data immutable model ...
Abstract: In this article, we derive the predictor-corrector (PC) methods with three-order convergent precision, together with a class of specific general linear three-step (GLTS) rules provided.
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