A Game Theory-Based Incentive Mechanism for Collaborative Security of Federated Learning in Energy Blockchain Environment
Author:
Affiliation:
1. School of Information, North China University of Technology, Beijing, China
2. Institute of Information Engineering, Chinese Academy of Science, Beijing, China
3. College of Cyber Security, Jinan University, Guangzhou, China
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Excellent Young Talents Project of the Beijing Municipal University Teacher Team Construction Support Plan
National Key Research and Development Plan 2020
Guangdong Key Research and Development Plan 2020
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/ielx7/6488907/10353047/10143974.pdf?arnumber=10143974
Reference37 articles.
1. Blockchain and the future of energy
2. A Privacy-Preserving Outsourcing Computing Scheme based on Secure Trusted Environment
3. Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment
4. SPDTS: A Differential Privacy-Based Blockchain Scheme for Secure Power Data Trading
5. Blockchain in energy market trends;Global Market Insights,2022
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