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BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch
Compared to the baseline FP-32 models, BMPQ can yield models that have 15. 4x fewer parameter bits with a negligible drop in accuracy.
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
Knowledge distillation (KD) has recently been identified as a method that can unintentionally leak private information regarding the details of a teacher model to an unauthorized student.
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