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CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
Mixture-of-Experts (MoE) has been widely adopted in recent large language model (LLM) architectures. However, scaling up MoE in LLM training introduces system-level challenges on training, where non-uniform token routing can lead to highly imbalanced workloads across experts and devices, further des
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