Author

Sunhee Hwang

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Preprint Aug 2026

Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularization

This work identifies routing-induced bias, a failure mode in which subgroup imbalance drives the gating network to route subgroups onto a few experts, and proposes an end-to-end Mixture-of-Experts (MoE) framework that corrects it and improves fairness while maintaining competitive predictive performance.

Sunhee Hwang · 0 citations