Tensor ring decomposition (TRD) is a powerful technique for decomposing high-order tensors here into a sum of lower-rank matrices. This reduction can dramatically reduce the computational complexity of various tensor tasks. TRD has found broad applications in diverse fields, including machine learning, where it can optimize the efficiency of algori