• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 107 matches

• 2023
• 
  Chang Zhao, Linghao Zhang:
  Optimized design and application research of smart interactive screen for wireless networks based on federated learning. EURASIP J. Wirel. Commun. Netw. 2023(1): 107 (2023)
• 
  Wen Sun, Zongjun Li, Qubeijian Wang, Yan Zhang:
  FedTAR: Task and Resource-Aware Federated Learning for Wireless Computing Power Networks. IEEE Internet Things J. 10(5): 4257-4270 (2023)
• 
  Shuo Li, Yanwei Zheng, Yifei Zou:
  WFLTree: A Spanning Tree Construction for Federated Learning in Wireless Networks. J. Circuits Syst. Comput. 32(13): 2350220:1-2350220:15 (2023)
• 
  Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson:
  Scheduling and Aggregation Design for Asynchronous Federated Learning Over Wireless Networks. IEEE J. Sel. Areas Commun. 41(4): 874-886 (2023)
• 
  Zhixiong Chen, Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
  Knowledge-Aided Federated Learning for Energy-Limited Wireless Networks. IEEE Trans. Commun. 71(6): 3368-3386 (2023)
• 
  Thinh Quang Dinh, Diep N. Nguyen, Dinh Thai Hoang, Tran Vu Pham, Eryk Dutkiewicz:
  In-Network Computation for Large-Scale Federated Learning Over Wireless Edge Networks. IEEE Trans. Mob. Comput. 22(10): 5918-5932 (2023)
• 
  Peng Wang, Wen Sun, Haibin Zhang, Wenqiang Ma, Yan Zhang:
  Distributed and Secure Federated Learning for Wireless Computing Power Networks. IEEE Trans. Veh. Technol. 72(7): 9381-9393 (2023)
• 
  Dongyang Li, Haixia Zhang, Tiantian Li, Hui Ding, Dongfeng Yuan:
  Community Detection and Attention-Weighted Federated Learning Based Proactive Edge Caching for D2D-Assisted Wireless Networks. IEEE Trans. Wirel. Commun. 22(11): 7287-7303 (2023)
• 
  Yijing Liu, Gang Feng, Dusit Niyato, Shuang Qin, Jianhong Zhou, Xiaoqian Li, Xinyi Xu:
  Ensemble Distillation Based Adaptive Quantization for Supporting Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. 22(6): 4013-4027 (2023)
• 
  Latif U. Khan, Mohsen Guizani, Choong Seon Hong:
  Resource Optimized Hierarchical Split Federated Learning for Wireless Networks. CPS-IoT Week Workshops 2023: 254-259
• 
  Jieming Bian, Jie Xu:
  Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks. UbiComp/ISWC Adjunct 2023: 718-723
• 
  Zhixiong Chen, Wenqiang Yi, Arumugam Nallanathan, Geoffrey Ye Li:
  Is Partial Model Aggregation Energy-Efficient for Federated Learning Enabled Wireless Networks? ICC 2023: 166-171
• 
  Gang Hu, Yinglei Teng, Nan Wang, F. Richard Yu:
  Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks. ICC 2023: 1175-1180
• 
  Chong Huang, Gaojie Chen, Pei Xiao, De Mi, Yunsheng Zhang, Hui Tang, Chen Lu, Rahim Tafazolli:
  Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation. IECON 2023: 1-6
• 
  Eisuke Tomiyama, Hiroshi Esaki, Hideya Ochiai:
  WAFL-GAN: Wireless Ad Hoc Federated Learning for Distributed Generative Adversarial Networks. KST 2023: 1-6
• 
  Mohammad Hossein Alishahi, Paul Fortier, Ming Zeng, Fang Fang, Aohan Li:
  Latency Minimization in Wireless-Powered Federated Learning Networks with NOMA. PIMRC 2023: 1-6
• 
  Zakaria Abou El Houda, Diala Nabousli, Georges Kaddoum:
  Advancing Security and Efficiency in Federated Learning Service Aggregation for Wireless Networks. PIMRC 2023: 1-6
• 
  Roumaissa Khelf, Elmahdi Driouch, Wessam Ajib:
  On the Optimization of UAV-Assisted Wireless Networks for Hierarchical Federated Learning. PIMRC 2023: 1-6
• 
  Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
  A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. PIMRC 2023: 1-6
• 
  Sivaram Krishnan, Jihong Park, Subhash Sagar, Gregory Sherman, Benjamin Campbell, Jinho Choi:
  Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks. SSP 2023: 66-70
• 
  Gang Hu, Yinglei Teng, Nan Wang, F. Richard Yu:
  Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks. CoRR abs/2302.10747 (2023)
• 
  Sivaram Krishnan, Jihong Park, Subhash Sagar, Gregory Sherman, Benjamin Campbell, Jinho Choi:
  Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks. CoRR abs/2306.01143 (2023)
• 
  Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
  A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2306.14237 (2023)
• 
  Zhigang Yan, Dong Li:
  Performance Analysis for Resource Constrained Decentralized Federated Learning Over Wireless Networks. CoRR abs/2308.06496 (2023)
• 
  Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
  A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2308.10664 (2023)
• 
  Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
  User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks. CoRR abs/2309.09253 (2023)
• 
  Md. Ferdous Pervej, Andreas F. Molisch:
  Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks. CoRR abs/2311.06918 (2023)
• 2022
• 
  Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis:
  Wireless Federated Learning (WFL) for 6G Networks⁴Part I: Research Challenges and Future Trends. IEEE Commun. Lett. 26(1): 3-7 (2022)
• 
  Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis:
  Wireless Federated Learning (WFL) for 6G Networks - Part II: The Compute-Then-Transmit NOMA Paradigm. IEEE Commun. Lett. 26(1): 8-12 (2022)
• 
  Quang Vinh Do, Quoc-Viet Pham, Won-Joo Hwang:
  Deep Reinforcement Learning for Energy-Efficient Federated Learning in UAV-Enabled Wireless Powered Networks. IEEE Commun. Lett. 26(1): 99-103 (2022)

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