Math 2.0

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Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis EV933413SJ

URIm2://res/EV933413SJ
Kindpreprint
CreatorsAdam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang, Christopher G. Brinton
Date2026-10-02
Subjectsarxiv cs.LG, arxiv cs.AI, arxiv math.OC
Scopeborder

Expressions

e1: version, preprint

Date2026-10-02
IdsarXiv 2610.02659

Items in this resource

The mentions of the inventory that name this resource. Each name links to the card of its inventory row.

ItemKindWhereSource
FedAvg SSM Convergencestatementtheorem B.5arxiv
Multi-layer SSM gradient second-moment constantstatementlemma C.5arxiv
Local multi-layer SSM smoothnessstatementlemma C.4arxiv
Multi-layer SSM stochastic gradient variance boundstatementlemma C.6arxiv
Local SSM smoothnessstatementlemma 4.7arxiv
Single-layer FedProx convergence ratestatementcorollary D.1arxiv
Multi-layer FedProx under common layer boundsstatementcorollary D.6arxiv
SSM Convergence Rate under Distributed Learningstatementcorollary D.8arxiv
SSM stochastic gradient variance boundstatementlemma B.3arxiv
SSM Convergence under Distributed Learningstatementcorollary D.7arxiv
Single-layer FedAvg convergence ratestatementcorollary 4.8arxiv
SSM client heterogeneity bound under total variationstatementlemma B.4arxiv
SSM Gradient Boundstatementtheorem 4.4arxiv
SSM loss gradient second-moment constantstatementlemma B.2arxiv
Multi-layer SSM Stabilitydefinitiondefinition C.2arxiv
$R$-Local Neighborhooddefinitiondefinition 4.5arxiv
Multi-layer gradient under common layer boundsstatementcorollary D.2arxiv
Multi-layer gradient rate under common layer boundsstatementcorollary D.3arxiv
FedProx convergence for multi-layer selective SSMsstatementcorollary C.9arxiv
Multi-layer SSM client heterogeneity bound under total variationstatementlemma C.7arxiv
Multi-Layer SSM Gradient Boundstatementtheorem C.3arxiv
SSM Stabilitydefinitiondefinition 4.1arxiv
Common-layer smoothness and depth dependencestatementcorollary D.4arxiv
Local Lipschitz Continuity of the SSM Gradient Boundstatementlemma B.1arxiv
Multi-layer FedAvg under common layer boundsstatementcorollary D.5arxiv
FedAvg convergence for multi-layer selective SSMsstatementcorollary C.8arxiv
FedProx convergence for selective SSMsstatementtheorem B.6arxiv

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