Stepped MoE Combines Elasticity and Sparsity for Adaptive Inference

Stepped MoE integrates elastic architectures with sparsely gated Mixture-of-Experts to allow models to adapt simultaneously to deployment constraints and task requirements. This framework enables configurable inference complexity, making it easier to deploy LLMs on resource-constrained edge devices.