Na Yan - RankMe

16 papers B 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Training-Communication-Aggregation for Heterogeneous Federated Learning. IEEE Commun. Lett. Na Yan, Yansha Deng, Mehdi Bennis
2025	B	`conf`	Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks. GLOBECOM Xinlu Zhang, Na Yan, Yang Su, Yansha Deng, Toktam Mahmoodi
2025	J	`jnl`	Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks. CoRR Xinlu Zhang, Na Yan, Yang Su, Yansha Deng, Toktam Mahmoodi
2025	J	`jnl`	Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions. IEEE Commun. Mag. Na Yan, Yang Su, Yansha Deng, Robert Schober
2025	J	`jnl`	Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions. CoRR Na Yan, Yang Su, Yansha Deng, Robert Schober
2025	—	`conf`	Federated LLMs Fine-Tuned with Adaptive Importance-Aware LoRA. ICC Yang Su, Na Yan, Yansha Deng
2025	J	`jnl`	Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. CoRR 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 A. R. 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
2025	J	`jnl`	PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts. CoRR Yang Su, Na Yan, Yansha Deng, Robert Schober
2025	J	`jnl`	Secure and Private Over-the-Air Federated Learning: Biased and Unbiased Aggregation Design. IEEE Trans. Wirel. Commun. Na Yan, Kezhi Wang, Kangda Zhi, Cunhua Pan, Kok Keong Chai, H. Vincent Poor
2024	J	`jnl`	Device Scheduling for Secure Aggregation in Wireless Federated Learning. IEEE Internet Things J. Na Yan, Kezhi Wang, Kangda Zhi, Cunhua Pan, Kok Keong Chai, H. Vincent Poor
2024	J	`jnl`	Federated LLMs Fine-tuned with Adaptive Importance-Aware LoRA. CoRR Yang Su, Na Yan, Yansha Deng
2024	J	`jnl`	Over-the-Air Federated Averaging With Limited Power and Privacy Budgets. IEEE Trans. Commun. Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai, Feng Shu, Jiangzhou Wang
2023	—	`conf`	Device Scheduling for Over-the-Air Federated Learning with Differential Privacy. ICC Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai
2023	J	`jnl`	Over-the-Air Federated Averaging with Limited Power and Privacy Budgets. CoRR Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai, Feng Shu, Jiangzhou Wang
2022	J	`jnl`	Performance Analysis for Channel-Weighted Federated Learning in OMA Wireless Networks. IEEE Signal Process. Lett. Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai
2022	J	`jnl`	Private Federated Learning With Misaligned Power Allocation via Over-the-Air Computation. IEEE Commun. Lett. Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai