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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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1 result for “DP-SCD”
Differentially Private Stochastic Coordinate Descentcs.LG

Develops DP-SCD for stochastic coordinate descent, making it differentially private.

problem Privacy leak in auxiliary information during stochastic coordinate descent training.
method Develops DP-SCD, leveraging independent noise addition and decoupling/parallelizing coordinate updates.
result Demonstrates competitive performance against DP-SGD with less tuning.
differential privacystochastic coordinate descentprivacy leakDP-SCDindependent noise
2020-06-12abs ↗pdf ↗