就是先让不同的expert单独计算loss，然后再加权求和得到总体的loss。这意味着，每个expert在处理特定样本的目标是独立于其他expert的权重。尽管仍然存在一定的间接耦合（因为其他expert权重的变化可能会影响门控网络分配给expert的score）。如果门控网络和expert都使用�

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