Researchers introduce DisMUSE, a distributed singular-spectrum optimizer with convergence guarantee
A new arXiv paper presents DisMUSE, an efficient distributed optimization approach based on singular spectrum analysis that preserves neural network matrix structure and comes with a theoretical convergence guarantee.
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- 2026-11-10 05:00 · arXiv cs.LG
DisMUSE: An Efficient Distributed Singular-Spectrum-Based Optimization Approach with Theoretical Convergence Guarantee