Exact quantiles and gradient corrections improve expert load balancing

The authors combine globally exact routing-bias updates with microbatch-specific gradient corrections in large mixture-of-experts models.

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Pit Neitemeier · Jiaze Li · Alessio Serra · Philipp Scholl · Sohir Maskey

Aleph Alpha

Research Digest··2 min read
Neitemeier et al.

The authors introduce Exact Quantile Balancing (EQB), a distributed method for setting expert-selection biases from the exact global-batch distribution of routing margins.

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Exact Quantile Balancing and Load-Error Injection improve MoE load balance and performance over prior methods.

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