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Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Summary: Bolt-on differential privacy for scalable SGD via output perturbation; seamless integration into Bismarck on a relational DBMS. Novel L2-sensitivity analysis of SGD under limited passes; improved convergence, negligible overhead, and up to 4x test accuracy over prior DP-SGD. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5423
Venue
SIGMOD
Year
2017
Pagerank
6.8952488e-05
Overall Rank
3,638 | 74.70%
DOI
10.1145/3035918.3064047

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