Towards Federated Learning on Fresh Datasets-Reference-Cited by-同舟云学术

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Towards Federated Learning on Fresh Datasets

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)
language:
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Author:

Wu Chen¹,Xiao Mingjun¹,Wu Jie²,Xu Yin³,Zhou Jinrui³,Sun He³

Affiliation:

1. University of Science and Technology of China,School of Data Science,China

2. Temple University,Department of Computer and Information Sciences,USA

3. University of Science and Technology of China,School of Computer Science and Technology & Suzhou Institute for Advanced Research,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10298257/10298281/10298589.pdf?arnumber=10298589

Reference43 articles.

1. Enabling Execution Assurance of Federated Learning at Untrusted Participants

2. Incentive Mechanism for Spatial Crowdsourcing with Unknown Social-Aware Workers: A Three-Stage Stackelberg Game Approach

3. TranAD

4. Oort: Efficient federated learning via guided participant selection;lai;USENIX OSDI,2021

5. Federated Learning over Wireless Networks: Optimization Model Design and Analysis

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. Age-of-Information-Aware Federated Learning;Journal of Computer Science and Technology;2024-05

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