Evolutionary Model Owner Selection for Federated Learning with Heterogeneous Privacy Budgets-Reference-Cited by-同舟云学术

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Evolutionary Model Owner Selection for Federated Learning with Heterogeneous Privacy Budgets

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Bryan Lim Wei Yang¹,Shyuan Ng Jer¹,Nie Jiangtian²,Hu Qin³,Xiong Zehui⁴,Niyato Dusit²,Miao Chunyan⁵

Affiliation:

1. Alibaba Group

2. Nanyang Technological University,School of Computer Science and Engineering,Singapore

3. Indiana University-Purdue University Indianapolis,Purdue School of Science,USA

4. Singapore University of Technology and Design

5. Alibaba-NTU Joint Research Institute

Funder

National Research Foundation

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838495.pdf?arnumber=9838495

Reference24 articles.

1. Deep learning;lecun;Nature,2015

2. Differentially private federated learning: A client level perspective;geyer,2017

3. Membership Inference Attacks Against Machine Learning Models

4. Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

5. The Algorithmic Foundations of Differential Privacy

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Blockchain-Based Secure Federated Learning with Incentives: An Incomplete Information Static Game Approach;ICC 2024 - IEEE International Conference on Communications;2024-06-09

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