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 ...

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Abstract: This paper investigates the distributed least-squares (LS) problem for a multi-agent system. Unlike conventional distributed frameworks where data is partitioned row-wise or column-wise, we ...