Xin Wang

activity

20232026

most citedTowards Quantum-Native Communication Systems: State-of-the-Art, Trends, and Challenges

7 citations · 9 across the 8 of their papers we have counts for

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3 papers · 1 filter

eess.SP2026

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges

Bingnan Xiao, Shuyan Hu, Xiaojing Chen +5

Next-generation wireless systems are expected to be ``AI-native," with neural networks (NNs) embedded throughout the physical (PHY) layer protocol stack to improve spectral efficie…

eess.SP2024

FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks

Bingnan Xiao, Jingjing Zhang, Wei Ni +1

Wireless federated learning (WFL) suffers from heterogeneity prevailing in the data distributions, computing powers, and channel conditions of participating devices. This paper pre…

eess.SP2023

OFDMA-F $^{2}$ L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface

Shuyan Hu, Xin Yuan, Wei Ni +3

Federated learning (FL) can suffer from a communication bottleneck when deployed in mobile networks, limiting participating clients and deterring FL convergence. The impact of prac…

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges

FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks

OFDMA-F2L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface

OFDMA-F $^{2}$ L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface