Na Yan

According to our database, Na Yan authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoLLM: A Unified Framework for Co-execution of LLMs Federated Fine-tuning and Inference.

Shaoyuan Huang, Xiaokai Wang, Na Yan, Xiaofei Wang, Wenyu Wang, Yansha Deng

CoRR, April, 2026

Adaptive Training-Communication-Aggregation for Heterogeneous Federated Learning.

Na Yan, Yansha Deng, Mehdi Bennis

IEEE Commun. Lett., 2026

2025

Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions.

Na Yan, Yang Su, Yansha Deng, Robert Schober

IEEE Commun. Mag., October, 2025

Secure and Private Over-the-Air Federated Learning: Biased and Unbiased Aggregation Design.

Na Yan, Kezhi Wang, Kangda Zhi, Cunhua Pan, Kok Keong Chai, H. Vincent Poor

IEEE Trans. Wirel. Commun., July, 2025

PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts.

Yang Su, Na Yan, Yansha Deng, Robert Schober

CoRR, May, 2025

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences.

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi, Ahmed Elbakary, Alexandros Nikou, Ali Maatouk, Ali Mokh, Amirreza Kazemi, Antonio De Domenico, Athanasios Karapantelakis, Bo Cheng, Bo Yang, Bohao Wang, Carlo Fischione, Chao Zhang, Chaouki Ben Issaid, Chau Yuen, Chenghui Peng, Chongwen Huang, Christina Chaccour, Christo Kurisummoottil Thomas, Dheeraj Sharma, Dimitris Kalogiros, Dusit Niyato, Eli De Poorter, Elissa Mhanna, Emilio Calvanese Strinati, Faouzi Bader, Fathi Abdeldayem, Fei Wang, Fenghao Zhu, Gianluca Fontanesi, Giovanni Geraci, Haibo Zhou, Hakimeh Purmehdi, Hamed Ahmadi, Hang Zou, Hongyang Du, Hoon Lee, Howard H. Yang, Iacopo Poli, Igor Carron, Ilias Chatzistefanidis, Inkyu Lee, Ioannis Pitsiorlas, Jaron Fontaine, Jiajun Wu, Jie Zeng, Jinan Li, Jinane Karam, Johny Gemayel, Juan Deng, Julien Frison, Kaibin Huang, Kehai Qiu, Keith Ball, Kezhi Wang, Kun Guo, Leandros Tassiulas, Lecorve Gwenole, Liexiang Yue, Lina Bariah, Louis Powell, Marcin Dryjanski, Maria Amparo Canaveras Galdon, Marios Kountouris, Maryam Hafeez, Maxime Elkael, Mehdi Bennis, Mehdi Ahmed Boudjelli, Meiling Dai, Mérouane Debbah, Michele Polese, Mohamad Assaad, Mohamed Benzaghta, Mohammad Al Refai, Moussab Djerrab, Mubeen Syed, Muhammad Amir, Na Yan, Najla Alkaabi, Nan Li, Nassim Sehad, Navid Nikaein, Omar Hashash, Pawel Sroka, Qianqian Yang, Qiyang Zhao, Rasoul Nikbakht Silab, Rex Ying, Roberto Morabito, Rongpeng Li, Ryad Madi, Salah Eddine El Ayoubi, Salvatore D'Oro, Samson Lasaulce, Serveh Shalmashi, Sige Liu, Sihem Cherrared, Swarna Bindu Chetty, Swastika Dutta, Syed Ali Raza Zaidi, Tianjiao Chen, Timothy Murphy, Tommaso Melodia, Tony Q. S. Quek, Vishnu Ram, Walid Saad, Wassim Hamidouche, Weilong Chen, Xiaoou Liu, Xiaoxue Yu, Xijun Wang, Xingyu Shang, Xinquan Wang, Xuelin Cao, Yang Su, Yanping Liang, Yansha Deng, Yifan Yang, Yingping Cui, Yu Sun, Yuxuan Chen, Yvan Pointurier, Zeinab Nehme, Zeinab Nezami, Zhaohui Yang, Zhaoyang Zhang, Zhe Liu, Zhenyu Yang, Zhu Han, Zhuang Zhou, Zihan Chen, Zirui Chen, Zitao Shuai

CoRR, March, 2025

Federated LLMs Fine-Tuned with Adaptive Importance-Aware LoRA.

Yang Su, Na Yan, Yansha Deng

Proceedings of the IEEE International Conference on Communications, 2025

Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks.

Xinlu Zhang, Na Yan, Yang Su, Yansha Deng, Toktam Mahmoodi

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

Device Scheduling for Secure Aggregation in Wireless Federated Learning.

Na Yan, Kezhi Wang, Kangda Zhi, Cunhua Pan, Kok Keong Chai, H. Vincent Poor

IEEE Internet Things J., September, 2024

Over-the-Air Federated Averaging With Limited Power and Privacy Budgets.

Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai, Feng Shu, Jiangzhou Wang

IEEE Trans. Commun., April, 2024

2023

Device Scheduling for Over-the-Air Federated Learning with Differential Privacy.

Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai

Proceedings of the IEEE International Conference on Communications, 2023

2022

Performance Analysis for Channel-Weighted Federated Learning in OMA Wireless Networks.

Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai

IEEE Signal Process. Lett., 2022

Private Federated Learning With Misaligned Power Allocation via Over-the-Air Computation.

Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai

IEEE Commun. Lett., 2022