Decentralized Federated Learning with Intermediate Results in Mobile Edge Computing
Author:
Affiliation:
1. School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China
2. Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
http://xplorestaging.ieee.org/ielx7/7755/4358975/09944948.pdf?arnumber=9944948
Cited by 5 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. A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges;Computer Science Review;2024-11
2. MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
3. Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing;IEEE Transactions on Parallel and Distributed Systems;2023-07
4. Decentralized Federated Learning with Adaptive Configuration for Heterogeneous Participants;IEEE Transactions on Mobile Computing;2023
5. Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems;IEEE Transactions on Mobile Computing;2023
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