Abstract: We study the performance behavior of the sparse matrix-vector product operation in distributed computing environments, in the case of very large non-diagonal matrices where the nonzero ...

Abstract: In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, ...

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Contributed by Elliot L. Elson; received June 9, 2025; accepted August 29, 2025; reviewed by Baohua Ji, M. Taher A. Saif, and Assaf Zemel ...