Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...
Abstract: Singular value decomposition (SVD) is a matrix factorization technique widely used in signal processing and recommendation systems, etc. In general, the time complexity of SVD algorithms is ...
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