An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach-Reference-Cited by-同舟云学术

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An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach

Published:2024-01 Issue:1 Volume:11 Page:88-102
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Tang Changbing¹^ORCID,Yang Baosen²^ORCID,Xie Xiaodong¹^ORCID,Chen Guanrong³^ORCID,Al-Qaness Mohammed A.A.¹^ORCID,Liu Yang²^ORCID

Affiliation:

1. College of Physics and Electronic Information Engineering, Zhejiang Normal University,Jinhua,China,321004

2. School of Mathematical Sciences, Zhejiang Normal University,Jinhua,China,321004

3. City University of Hong Kong,Department of Electrical Engineering,Hong Kong,China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570654/10380610/10399371.pdf?arnumber=10399371

Reference46 articles.

1. The Roadmap to 6G: AI Empowered Wireless Networks

2. Robust point‐to‐point iterative learning control for constrained systems: A minimum energy approach

3. Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion

4. An Optimal Iterative Learning Control Approach for Linear Systems With Nonuniform Trial Lengths Under Input Constraints

5. Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams

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