Decomposition and Meta-DRL based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems
Wireless-based federated learning (FL), as an emerging distributed learning approach, has
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …
Efficient Federated Learning in 6G-Satellite Systems: Deep Reinforcement Learning Based Multi-Objective Optimization
Y Zhou, J Guo, H Li, J Tian, X Zhao… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Wireless-based federated learning (FL), as an emerging distributed learning approach, has
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …
Load-Aware Hierarchical Information-Centric Routing for Large-Scale LEO Satellite Networks
The emerging large-scale low earth orbit (LEO) constellation is expected to provide global
Internet services. However, large-scale satellite networks meet the challenges of topology …
Internet services. However, large-scale satellite networks meet the challenges of topology …