Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation

DOI (url)

10.1109/lcsys.2022.3232210
Publication Date

2023/01/01
Journal

IEEE Control Systems Letters
Indian UGC (journal)
Refrences

21
Citations

1
Yijie Zhou School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China ORCID (unauthenticated)
Shi Pu School of Data Science, Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China ORCID (unauthenticated)

Journal Category

Technology

Mechanical engineering and machinery

Title	Journal	Journal Categories	Citations	Publication Date
iDLG: Improved deep leakage from gradients				2020
Deep leakage from gradients				2019
BrainTorrent: A peer-to-peer environment for decentralized federated learning				2019
Privacy preservation in distributed subgradient optimization algorithms				2015
Real and Complex Analysis				1987

Title	Journal	Journal Categories	Citations	Publication Date
Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation	IEEE Control Systems Letters	Technology: Mechanical engineering and machinery	1	2023

Category	Category Repetition
Technology: Mechanical engineering and machinery	1

The category Technology: Mechanical engineering and machinery 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation and was published in 2023. The most recent citation comes from a 2023 study titled Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals. Among related journals, the IEEE Control Systems Letters cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.