Differentially Private Federated Learning With an Adaptive Noise Mechanism
Author:
Affiliation:
1. School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China
2. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore
Funder
National Natural Science Foundation of China
Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/10319981/10262055.pdf?arnumber=10262055
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4. Rényi differential privacy;mironov;Proc 30th IEEE Comput Secur Found Symp (CSF),2017
5. Learning differentially private recurrent language models;mcmahan;arXiv 1710 06963,2017
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