15 citations · 22 across the 9 of their papers we have counts for
9 papers
FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
Sijing Xie, Dingzhu Wen, Changsheng You +3
Fine-tuning (FT) large language models (LLMs) is crucial for adapting general-purpose models to specific tasks, enhancing accuracy and relevance with minimal resources. To further…
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
Yipeng Liang, Qimei Chen, Guangxu Zhu +2
With the prevalence of Large Learning Models (LLM), Split Federated Learning (SFL), which divides a learning model into server-side and client-side models, has emerged as an appeal…
Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
Yipeng Liang, Qimei Chen, Hao Jiang
With the emergence of integrated sensing, communication, and computation (ISCC) in the upcoming 6G era, federated learning with ISCC (FL-ISCC), integrating sample collection, local…
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
Zijian Zhao, Tingwei Chen, Zhijie Cai +4
In recent years, Wi-Fi sensing has garnered significant attention due to its numerous benefits, such as privacy protection, low cost, and penetration ability. Extensive research ha…
Collaborative Edge AI Inference over Cloud-RAN
Pengfei Zhang, Dingzhu Wen, Guangxu Zhu +3
In this paper, a cloud radio access network (Cloud-RAN) based collaborative edge AI inference architecture is proposed. Specifically, geographically distributed devices capture rea…
Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access
Xiaoxia Xu, Yuanwei Liu, Xidong Mu +3
This article focuses on the application of artificial intelligence (AI) in non-orthogonal multiple-access (NOMA), which aims to achieve automated, adaptive, and high-efficiency mul…
Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications
Xiaoxia Xu, Yuanwei Liu, Qimei Chen +2
A multi-cell cluster-free NOMA framework is proposed, where both intra-cell and inter-cell interference are jointly mitigated via flexible cluster-free successive interference canc…
Cluster-Free NOMA Communications Towards Next Generation Multiple Access
Xiaoxia Xu, Yuanwei Liu, Xidong Mu +2
A generalized downlink multi-antenna non-orthogonal multiple access (NOMA) transmission framework is proposed with the novel concept of cluster-free successive interference cancell…
Embedding LTE-U within Wi-Fi Bands for Spectrum Efficiency Improvement
Qimei Chen, Guanding Yu, Hesham M. Elmaghraby +2
Driven by growing spectrum shortage, Long-term Evolution in unlicensed spectrum (LTE-U) has recently been proposed as a new paradigm to deliver better performance and experience fo…