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Published August 25, 2025 | Version v2

Dynamic Fold Gradient Descent (DFGD):New AI Algorithm methodalogy

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Description

Dynamic Fold Gradient Descent (DFGD):This optimization algorithm is a gradient-sampling-based approach that losslessly boosts efficiency by integrating dimension folding, pruning, and quantization. It offers significant potential for future development and can be applied to any gradient-based optimizer, such as Adam.

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DFGD.pdf

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