Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm

标题
Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm
作者
关键词
Multi-agent systems, Distributed optimization, Differential privacy, DAL
出版物
INFORMATION SCIENCES
Volume 538, Issue -, Pages 39-53
出版商
Elsevier BV
发表日期
2020-06-06
DOI
10.1016/j.ins.2020.05.119

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started