Outsourced and Privacy-Preserving Collaborative k-Prototype Clustering for Mixed Data via Additive Secret Sharing
Author:
Affiliation:
1. Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, China
2. College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10242177/10098548.pdf?arnumber=10098548
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5. Edge-Assisted Privacy-Preserving Raw Data Sharing Framework for Connected Autonomous Vehicles
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