A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy-Reference-Cited by-同舟云学术

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A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy

Published:2023-04-01 Issue:4 Volume:35 Page:3333-3346
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhang Lefeng¹,Zhu Tianqing¹^ORCID,Xiong Ping²,Zhou Wanlei³^ORCID,Yu Philip S.⁴^ORCID

Affiliation:

1. Centre for Cyber Security and Privacy and the School of Computer Science, University of Technology, Sydney, NSW, Australia

2. Zhongnan University of Economics and Law, Wuhan, China

3. City University of Macau, Macau, China

4. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

Funder

ARC Discovery

Australian Research Council

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/69/10063074/9669031-aam.pdf

Reference42 articles.

1. Towards Efficient and Privacy-Preserving Federated Deep Learning

2. DRACO: Byzantine-resilient distributed training via redundant gradients;chen;Proc 35th Int Conf Mach Learn,2018

3. Personalized Federated Learning With Differential Privacy

4. Selling privacy at auction

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1. A Survey for Federated Learning Evaluations: Goals and Measures;IEEE Transactions on Knowledge and Data Engineering;2024-10

2. Differential Privacy-Aware Generative Adversarial Network-Assisted Resource Scheduling for Green Multi-Mode Power IoT;IEEE Transactions on Green Communications and Networking;2024-09

3. BM-FL: A Balanced Weight Strategy for Multi-Stage Federated Learning Against Multi-Client Data Skewing;IEEE Transactions on Knowledge and Data Engineering;2024-09

4. Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization;IEEE Transactions on Knowledge and Data Engineering;2024-09

5. Strategic Gradient Transmission With Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis;IEEE Transactions on Artificial Intelligence;2024-09

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