English(EN) Information Bottleneck under Perfect Privacy

新论文探讨完美隐私下的信息瓶颈

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-12 04:00

本文在完美隐私条件下探讨信息瓶颈原理，重点关注表示率约束活跃的场景。目标是创建一个在保持效用相关信息的同时，与敏感变量统计独立的表示。这种严格的独立性要求比标准的率-相关性权衡增加了复杂性。为解决此问题，作者提出了一种基于交替方向乘子法（ADMM）的方法，证明了其全局收敛性，并使用Kurdyka-Lojasiewicz指数对其速率进行了表征，同时扩展了不精确更新的情况。 AI

影响该研究有助于对隐私保护信息表示的理论理解，可能影响未来AI模型的设计。

排序理由关于理论AI概念的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 关于理论AI概念的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, safety; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 78 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Junle Zhong, Mohamad Assaad, Sreejith Sreekumar · 2026-08-12 04:00

完美隐私下的信息瓶颈

arXiv:2608.11003v1 Announce Type: cross Abstract: In this work, we study the information bottleneck under perfect privacy, with particular emphasis on the active-rate regime, where the representation-rate constraint is binding and directly limits the achievable utility. The goal …

本文如何被排名

报道来源 [1]

完美隐私下的信息瓶颈

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