Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis.

arXiv:2610.02659v2 Announce Type: replace-cross Abstract: Modern state space models (SSMs), such as Mamba2, provide a compelling alternative to transformers by combining linear-time sequence modeling with recurrent state-space dynamics. However, the behavior o