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LRMoE

Memory-aware training system for sparse Mixture-of-Experts models that jointly recalibrates backward demand and balances retained workload under GPU memory constraints.

• LRMoE Introduces Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes