AI RESEARCH
FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models
arXiv CS.LG
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ArXi:2511.11505v3 Announce Type: replace Blocking communication presents a major hurdle in running MoEs efficiently in distributed settings. To address this, we present FarSkip-Collective which modifies the architecture of modern models to enable overlapping of their computation with communication. Our approach modifies the architecture to skip connections in the model and it is unclear a priori whether the modified model architecture can remain as capable, especially for large state-of-the-art models and while modifying all of the model layers.