Achieving Privacy-Preserving Online Multi-Layer Perceptron Model in Smart Grid-Reference-Cited by-同舟云学术

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Achieving Privacy-Preserving Online Multi-Layer Perceptron Model in Smart Grid

Published:2024-04 Issue:2 Volume:12 Page:777-788
ISSN:2168-7161
Container-title:IEEE Transactions on Cloud Computing
language:
Short-container-title:IEEE Trans. Cloud Comput.

Author:

Hu Chunqiang¹^ORCID,Zhuang Huijun¹^ORCID,Chen Jiajun¹^ORCID,Hu Pengfei²^ORCID,Xiang Tao³^ORCID,Yu Jiguo⁴^ORCID

Affiliation:

1. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

2. School of Computer Science and Technology, Shandong University, Jinan, China

3. College of Computer Science, Chongqing University, Chongqing, China

4. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Major Program of Shandong Provincial Natural Science Foundation for the Fundamental Research

Piloting Fundamental Research Program for the Integration of Scientific Research, Education and Industry of Qilu University of Technology

Foundation of Jinan City, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6245519/10551658/10529625.pdf?arnumber=10529625

Reference60 articles.

1. Grid 2030: A national vision for electricitys second 100 years,2003

2. An overview of the smart grid in Great Britain;Jenkins;Engineering,2015

3. Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

4. Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners

5. Continuous fractional-order grey model and electricity prediction research based on the observation error feedback

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