EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment-Reference-Cited by-同舟云学术

EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment

Published:2023-09 Issue:3 Volume:13 Page:817-828
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Ren Chao¹^ORCID,Wang Tianjing²,Yu Han¹^ORCID,Xu Yan²,Dong Zhao Yang²

Affiliation:

1. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

Internal Talent Award [Talent Recruitment and Career Support (TRACS)] with the 2022 Wallenberg-Nanyang Technological University (NTU) Presidential Postdoctoral Fellowship

National Research Foundation, Singapore

DSO National Laboratories through the AI Singapore Program

RIE 2020 Advanced Manufacturing and Engineering (AME) Programmatic Fund, Singapore

Future Communications Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5503868/10251074/10183839.pdf?arnumber=10183839

Reference43 articles.

1. Intelligent Early Warning of Power System Dynamic Insecurity Risk: Toward Optimal Accuracy-Earliness Tradeoff