A data forgetting method for dynamic allocation of pruning ratios for heterogeneous resources in industrial equipment.

Abstract

This invention discloses a data forgetting method for dynamically allocating pruning ratios for heterogeneous resources in industrial equipment. The method includes: when a server detects a target device failure, the server allocates an adaptive pruning ratio to each industrial device based on its resource information; each industrial device prunes its local model according to the allocated pruning ratio, removing parameters related to the abnormal data of the target device, thus forgetting the target data; other industrial devices update their pruned local models, obtaining updated local models and uploading them to the server; the server aggregates the updated local models to obtain a global model that guarantees generalization performance and forgets the abnormal data of the target device. This invention can adaptively allocate appropriate pruning ratios to heterogeneous computing and communication resources, thereby reducing the waiting time of all devices, improving system resource utilization, and enhancing the execution efficiency of the forgetting task.

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