Statistical Learning
6db3ea527f53682657b3d6b02a841340-Paper-Conference.pdf
Neural Information Processing Systems
Westudy theasynchronous stochastic gradient descent algorithm fordistributed training overn workers which have varying computation and communication frequencyovertime.
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Gaussian Differential Privacy on Riemannian Manifolds
Neural Information Processing Systems
We develop an advanced approach for extending Gaussian Differential Privacy (GDP) to general Riemannian manifolds.
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