On-Board Federated Learning for Dense LEO Constellations

Author:

Razmi Nasrin1,Matthiesen Bho1,Dekorsy Armin1,Popovski Petar2

Affiliation:

1. University of Bremen,U Bremen Excellence Chair,Dept. of Communications Engineering,Germany

2. Aalborg University,Department of Electronic Systems,Aalborg,Denmark

Publisher

IEEE

Reference18 articles.

1. Tornadoaggregate: Accurate and scalable federated learning via the ring-based architecture;lee;Conf on Artificial Intelligence (AAAI),2021

2. Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems

3. Efficient ring-topology decentralized federated learning with deep generative models for industrial artificial intelligent;wang,2021

4. A unified analysis of stochastic gradient methods for nonconvex federated optimization;li;Neural Inf Proc Systems ( NeurIPS),2020

5. Federated Learning over Wireless Networks: Optimization Model Design and Analysis

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1. Towards Client Selection in Satellite Federated Learning;Applied Sciences;2024-02-04

2. FedGSM: Efficient Federated Learning for LEO Constellations with Gradient Staleness Mitigation;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25

3. Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

4. Optimal bandwidth and computing resource allocation in low earth orbit satellite constellation for earth observation applications;Computer Networks;2023-08

5. Convergence-Efficient Satellite-Ground Federated Learning for LEO Mega Constellations Optical Networks;2023 21st International Conference on Optical Communications and Networks (ICOCN);2023-07-31

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