Before revision:  In detail, after constructing } target models by fine-tuning on local tasks the globally pre-trained meta-model, maintaining both efficiency and veracity .
After revision:  In detail, after constructing } target models by fine-tuning on local tasks the globally pre-trained network on those hard tasks, we match the task-specific solvers to target models via knowledge distillation. Experiments demonstrate the superiority of our proposal .