AI RESEARCH
When Do Fewer Coordinates Suffice in DP-SGD?
arXiv CS.LG
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ArXi:2606.04375v1 Announce Type: new Differentially private stochastic gradient descent (DP-SGD) injects noise into every updated coordinate, making the injected noise energy scale with the ambient parameter dimension \(d\). We ask when private