Device Scheduling for Wireless Federated Learning with Latency and Representativity

Author:

Chen Zhixiong1,Yi Wenqiang1,Deng Yansha1,Nallanathan Arumugam1

Affiliation:

1. School of Electronic Engineering and Computer Science, Queen Mary University of London,London

Publisher

IEEE

Reference13 articles.

1. Fast and private submodular and k-submodular functions maximization with matroid constraints;rafiey;Proc International Conference on Machine Learning (ICML),0

2. Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints

3. Decentralized Federated Learning With Unreliable Communications

4. Convex Optimization

5. Federated learning for energy-limited wireless networks: A partial model aggregation approach;chen;ArXiv Preprint,2022

Cited by 2 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. Exploring Representativity in Device Scheduling for Wireless Federated Learning;IEEE Transactions on Wireless Communications;2024-01

2. Convergence Analysis for Wireless Federated Learning with Gradient Recycling;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19

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