FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots-Reference-Cited by-同舟云学术

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FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Imteaj Ahmed,Hadi Amini M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9356100/9356131/09356216.pdf?arnumber=9356216

Cited by 41 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. SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning;2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW);2024-07-23

2. FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

4. Federated Learning in 6G Non-Terrestrial Network for IoT Services: From the Perspective of Perceptive Mobile Network;IEEE Network;2024-07

5. Dependable Distributed Training of Compressed Machine Learning Models;2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2024-06-04

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