AI RESEARCH
FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing
arXiv CS.LG
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ArXi:2512.23070v2 Announce Type: replace Mixture-of-Experts (MoE) models enable scalable neural networks through conditional computation, offering enhanced effectiveness and efficiency for next-generation wireless communications. However, deploying MoE with federated learning (FL) over wireless and IoT edge networks faces two critical challenges: 1) resource-constrained clients cannot large AI models with full expert sets, and 2) non-IID data distributions cause severe expert load imbalance that degrades model performance.