収束保証

Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile

Authors: Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa | Published: 2023-06-27
プライバシー評価
収束保証
収束特性

Locally Differentially Private Distributed Online Learning with Guaranteed Optimality

Authors: Ziqin Chen, Yongqiang Wang | Published: 2023-06-25 | Updated: 2024-08-23
アルゴリズム設計
プライバシー保護
収束保証

Stochastic Differentially Private and Fair Learning

Authors: Andrew Lowy, Devansh Gupta, Meisam Razaviyayn | Published: 2022-10-17 | Updated: 2023-06-03
プライバシーリスク管理
プライバシー評価
収束保証

Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability

Authors: Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang | Published: 2022-10-15 | Updated: 2023-06-06
アルゴリズム設計
プライバシーリスク管理
収束保証

Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms

Authors: Ming Xiang, Lili Su | Published: 2022-10-03 | Updated: 2023-02-17
アルゴリズム
アルゴリズム設計
収束保証

Differentially Private Stochastic Gradient Descent with Low-Noise

Authors: Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou | Published: 2022-09-09 | Updated: 2023-07-14
プライバシー分析
モデル設計
収束保証

Classification Protocols with Minimal Disclosure

Authors: Jinshuo Dong, Jason Hartline, Aravindan Vijayaraghavan | Published: 2022-09-06
収束保証
多者計算
機械学習手法

Decentralized Collaborative Learning with Probabilistic Data Protection

Authors: Tsuyoshi Idé, Rudy Raymond | Published: 2022-08-23 | Updated: 2022-08-24
プライバシー侵害
分散学習の効率
収束保証

High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent

Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2022-07-04 | Updated: 2023-04-09
アルゴリズム設計
収束保証
最適化アルゴリズムの選択と評価

Differentially-Private Sublinear-Time Clustering

Authors: Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee | Published: 2021-12-27
サンプリング手法
プライバシーリスク管理
収束保証