Cost-Aware Mixture-of-Experts Coordination for Model Markets
Existing model marketplaces typically trade and select individual models as indivisible units, limiting their ability to exploit complementarities among heterogeneous experts. This paper proposes an MoE-based model market framework that lifts Mixture-of-Experts from a model-level learning architecture to a market-level coordination mechanism. In this framework, brokers use gating networks to coordinate multiple heterogeneous experts and deliver a composite model service. We formalize the market participants, service workflow, expert cost structure, and a welfare objective that combines predictive utility with heterogeneous execution costs. We then derive a cost-aware gating mechanism and ...
| Authors | Yizhou Ma, Wenbo Wu, Xikun Jiang et al. |
|---|---|
| Primary category | cs.DB |
| Published | 8 October 2026 |
| Last updated at source | 8 October 2026 |
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