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关于leaf-pytorch

在使用您提供的leaf-pytorch版本中,使用updates列表存储客户端更新,但是在实际过程中,self.updates.append((num_samples, update)),update会将之前的其他客户端的update覆盖,最后使用聚合参数的时候实际上是使用都是一个客户端的参数在计算全局参数,导致了无论在哪一轮训练,全局参数始终与一个客户端的相同,希望排查一下

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