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METHOD AND SYSTEM FOR ARTIFICAL INTELLIGENCE MODEL TRAINING USING A WATERMARK-ENABLED KERNEL FOR A DATA PROCESSING ACCELERATOR
METHOD AND SYSTEM FOR ARTIFICAL INTELLIGENCE MODEL TRAINING USING A WATERMARK-ENABLED KERNEL FOR A DATA PROCESSING ACCELERATOR
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机译:使用支持水印的内核进行人工智能模型培训的方法和系统,用于数据处理加速器
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摘要
In one embodiment, a computer-implemented method performed by a data processing (DP) accelerator, includes receiving, at the DP accelerator, first data representing a set of training data from a host processor; receiving, at the DP accelerator, a watermark kernel from the host processor; and executing the watermark kernel within the DP accelerator on an artificial intelligence (AI) model. The watermark kernel, when executed, is configured to: generate a new watermark by inheriting an existing watermark from a data object of the set of training data, train the AI model using the set of training data, and implant the new watermark within the AI model during training of the AI model. The DP accelerator then transmits second data representing the trained AI model having the new watermark implanted therein to the host processor.
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