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Sticky Routing: Training MoE Models for Memory-Efficient Inference

Researchers have introduced StickyMoE, a routing consistency loss designed to reduce weight swapping and improve memory efficiency during Mixture-of-Experts model inference on edge devices.

Impact
45/100
Current rank score
2.03
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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