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谷歌发布JAX-Privacy 1.0:大规模差分隐私机器学习工具库
A:JAX-Privacy 1.0是谷歌基于JAX构建的差分隐私机器学习工具库。它解决了在大规模机器学习中实现差分隐私算法的挑战,让研究人员和开发者能够在保护个人隐私的前提下,使用大型数据集训练AI模型,特别是在训练和微调基础模型时。
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