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arXiv 2610.27598 · cs.AI · 2026-10-20

Meta Expert: Cross-Layer Expert Sharing for Storage- and Retrieval-Efficient MoE

Ermo Hua, Xiangyu Hong, Baiting Wu, Che Jiang, Haozheng Hou, Yicheng Gu, Hanjing Wang, Qirui Zeng and 6 more

TsinghuaC3I

In latest · #298 Added on 2026-10-24

One-line takeaway

Tsinghua C3I studies cross-layer expert sharing in MoE: since experts in different layers are topologically independent yet highly redundant, it empirically compares per-layer Local Experts with inter-layer shared Meta Experts across multiple dimensions for storage and retrieval efficiency.

清华 C3I 研究 MoE 的跨层专家共享:主流 MoE 各层专家拓扑独立但内容高度相似冗余,论文对比“每层独立专家”和“跨层共享的 Meta Expert”,从多个维度实测共享方案在存储和检索效率上的潜力。

43HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
43.9Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

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