JOURNAL ARTICLE

Differentially private distributed algorithms for stochastic aggregative games

Jimin WangJi‐Feng ZhangXingkang He

Year: 2022 Journal:   Automatica Vol: 142 Pages: 110440-110440   Publisher: Elsevier BV
Keywords:
Differential privacy Rate of convergence Convergence (economics) Computer science Stochastic approximation Algorithm Perturbation (astronomy) Mathematical optimization Mathematics Key (lock)

Metrics

39
Cited By
7.64
FWCI (Field Weighted Citation Impact)
50
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Stochastic Gradient Optimization Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Mobile Crowdsensing and Crowdsourcing
Physical Sciences →  Computer Science →  Computer Science Applications

Related Documents

JOURNAL ARTICLE

Differentially Private Distributed Algorithms for Aggregative Games With Guaranteed Convergence

Yongqiang WangAngelia Nedić

Journal:   IEEE Transactions on Automatic Control Year: 2024 Vol: 69 (8)Pages: 5168-5183
JOURNAL ARTICLE

Differentially Private Distributed Nash Equilibrium Seeking for Aggregative Games

Maojiao YeGuoqiang HuLihua XieShengyuan Xu

Journal:   IEEE Transactions on Automatic Control Year: 2021 Vol: 67 (5)Pages: 2451-2458
JOURNAL ARTICLE

Differentially Private Distributed Nash Equilibrium Seeking for Aggregative Games With Linear Convergence

Ying ChenQian MaJin PengShengyuan Xu

Journal:   IEEE Transactions on Fuzzy Systems Year: 2025 Vol: 33 (6)Pages: 1853-1863
JOURNAL ARTICLE

Distributed Algorithms for Aggregative Games on Graphs

Jayash KoshalAngelia NedićUday V. Shanbhag

Journal:   Operations Research Year: 2016 Vol: 64 (3)Pages: 680-704
© 2026 ScienceGate Book Chapters — All rights reserved.