MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training - researchr publication authors

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Changjun Song, Yongming Tang, Jiyuan Liu 0006, Sige Bian, Danni Deng, He Li 0008. MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training. In Nele Mentens, Leonel Sousa, Pedro Trancoso, Nikela Papadopoulou, Ioannis Sourdis, editors, 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023, Gothenburg, Sweden, September 4-8, 2023. pages 159-165, IEEE, 2023. [doi]

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