26 citations · 61 across the 13 of their papers we have counts for
23 papers
Ten issues of NetGPT
Wen Tong, Chenghui Peng, Tingting Yang +15
With the rapid development and application of foundation models (FMs), it is foreseeable that FMs will play an important role in future wireless communications. As current Artifici…
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning
Xing Xu, Rongpeng Li, Zhifeng Zhao +1
The paper considers independent reinforcement learning (IRL) for multi-agent decision-making process in the paradigm of federated learning (FL). We show that FL can clearly improve…
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network
Yan Shao, Rongpeng Li, Bing Hu +3
Network slicing (NS) management devotes to providing various services to meet distinct requirements over the same physical communication infrastructure and allocating resources on…
Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty
Rongpeng Li
Online reinforcement learning (RL) has been widely applied in information processing scenarios, which usually exhibit much uncertainty due to the intrinsic randomness of channels a…
Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms
Jianjun Wu, Rongpeng Li, Xueli An +4
The mobile communication system has transformed to be the fundamental infrastructure to support digital demands from all industry sectors, and 6G is envisioned to go far beyond the…
Learning to Prune in Training via Dynamic Channel Propagation
Shibo Shen, Rongpeng Li, Zhifeng Zhao +2
In this paper, we propose a novel network training mechanism called "dynamic channel propagation" to prune the neural networks during the training period. In particular, we pick up…