arXiv cs.CL
· Papers
TrimMoE A communication aware and adaptive depth framework for distributed edge inference
arXiv:2608.00573v2 Announce Type: replace-cross Abstract: Serving Mixture-of-Experts (MoE) large language models across distributed edge servers is bottlenecked by the cross-server expert transmission. The existing approaches mainly focus on how to reach a remote expert faster. However, in this paper, we instead consid