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Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
May 7, 2024, 4:11 a.m. | Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
cs.CR updates on arXiv.org arxiv.org
Abstract: We study $L_2$ mean estimation under central differential privacy and communication constraints, and address two key challenges: firstly, existing mean estimation schemes that simultaneously handle both constraints are usually optimized for $L_\infty$ geometry and rely on random rotation or Kashin's representation to adapt to $L_2$ geometry, resulting in suboptimal leading constants in mean square errors (MSEs); secondly, schemes achieving order-optimal communication-privacy trade-offs do not extend seamlessly to streaming differential privacy (DP) settings (e.g., tree aggregation …
address arxiv challenges communication constraints cs.cr cs.lg differential privacy geometry key key challenges privacy random representation rotation streaming study trade trade-offs under
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