7 citations · 12 across the 11 of their papers we have counts for
4 papers · 1 filter
A GAN-based Semantic Communication for Text without CSI
Jin Mao, Ke Xiong, Ming Liu +4
Recently, semantic communication (SC) has been regarded as one of the potential paradigms of 6G. Current SC frameworks require channel state information (CSI) to handle severe sign…
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…
Fresh Multiple Access: A Unified Framework Based on Large Models and Mean-Field Approximations
Haiming Hui, Shuqi Wei, Wei Chen
Information freshness has attracted increasingly attention in the past decade as it plays a critical role in the emerging real-time applications. Age of information (AoI) holds the…
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks
Junkai Qian, Yuning Jiang, Xin Liu +4
With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies h…