Incentive-driven Federated Learning in Mobile Edge Networks-Reference-Cited by-同舟云学术

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Incentive-driven Federated Learning in Mobile Edge Networks

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 43rd International Conference on Distributed Computing Systems Workshops (ICDCSW)
language:
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Author:

Zheng Yanlang¹,Zhou Huan¹,Zhao Liang¹,Xu Shouzhi¹,Leung Victor C. M.²

Affiliation:

1. China Three Gorges University,Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology,Yichang,China

2. Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10302821/10302947/10302954.pdf?arnumber=10302954

Reference20 articles.

1. Dynamic Games for Social Model Training Service Market via Federated Learning Approach

2. Matching-Theory-Based Low-Latency Scheme for Multitask Federated Learning in MEC Networks

3. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

4. Toward an Automated Auction Framework for Wireless Federated Learning Services Market

5. Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing

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