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News/ID Balancing: Stable Training of Extremely Sparse MoE via PID-Based Load Control
arxiv
PublishedOctober 2, 2026 at 4:00 AM

ID Balancing: Stable Training of Extremely Sparse MoE via PID-Based Load Control

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arXiv:2609.39137v1 Announce Type: new Abstract: Scaling Large Language Models (LLMs) via Mixture-of-Experts (MoE) enables massive parameter growth with nearly constant per-token computation. However, further scaling the parameter count requires increasingly sparse routing, where expert load imbalanc

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