A Cooperative Analysis to Incentivize Communication-Efficient Federated Learning-Reference-Cited by-同舟云学术

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A Cooperative Analysis to Incentivize Communication-Efficient Federated Learning

Published:2024-10 Issue:10 Volume:23 Page:10175-10190
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Li Youqi¹^ORCID,Li Fan¹^ORCID,Yang Song¹^ORCID,Zhang Chuan²^ORCID,Zhu Liehuang²^ORCID,Wang Yu³^ORCID

Affiliation:

1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

2. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

3. Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Beijing Institute of Technology Research Fund Program for Young Scholars

Beijing Natural Science Foundation

Young Elite Scientists Sponsorship Program by CAST

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7755/10663873/10460191.pdf?arnumber=10460191

Reference53 articles.

1. SLSGD: Secure and Efficient Distributed On-device Machine Learning

2. Communication-efficient learning of deep networks from decentralized data;McMahan

3. Federated Learning

4. Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

5. FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

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. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds;IEEE Transactions on Parallel and Distributed Systems;2024-08

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