12 citations · 17 across the 11 of their papers we have counts for
11 papers
Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
Peng Yang, Ting Wang, Haibin Cai +3
Satellite networks are able to collect massive space information with advanced remote sensing technologies, which is essential for real-time applications such as natural disaster m…
Towards Effective and Interpretable Semantic Communications
Youlong Wu, Yuanmin Shi, Shuai Ma +3
With the exponential surge in traffic data and the pressing need for ultra-low latency in emerging intelligence applications, it is envisioned that 6G networks will demand disrupti…
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
Yuanming Shi, Li Zeng, Jingyang Zhu +3
The proliferation of low-earth-orbit (LEO) satellite networks leads to the generation of vast volumes of remote sensing data which is traditionally transferred to the ground server…
On Inhomogeneous Infinite Products of Stochastic Matrices and Applications
Zhaoyue Xia, Jun Du, Chunxiao Jiang +3
With the growth of magnitude of multi-agent networks, distributed optimization holds considerable significance within complex systems. Convergence, a pivotal goal in this domain, i…
Over-the-Air Federated Learning and Optimization
Jingyang Zhu, Yuanming Shi, Yong Zhou +3
Federated learning (FL), as an emerging distributed machine learning paradigm, allows a mass of edge devices to collaboratively train a global model while preserving privacy. In th…
Hybrid Driven Learning for Channel Estimation in Intelligent Reflecting Surface Aided Millimeter Wave Communications
Shuntian Zheng, Sheng Wu, Chunxiao Jiang +2
Intelligent reflecting surfaces (IRS) have been proposed in millimeter wave (mmWave) and terahertz (THz) systems to achieve both coverage and capacity enhancement, where the design…