p2Detect: Electricity Theft Detection With Privacy Preservation for Both Data and Model in Smart Grid
Author:
Affiliation:
1. College of Computer, National University of Defense Technology, Changsha, China
2. Big Data Institute, Central South University, Changsha, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Graduate Research and Innovation Projects in Hunan Province
National University of Defense Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10106635/09917455.pdf?arnumber=9917455
Reference35 articles.
1. PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks
2. Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
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4. K-means++: The advantages of careful seeding;arthur;Proc SODA,2007
5. FedDetect: A Novel Privacy-Preserving Federated Learning Framework for Energy Theft Detection in Smart Grid
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