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Towards Federated Long-Tailed Learning


Jun 30, 2022
Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu

* Accepted by International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22) 

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FedCorr: Multi-Stage Federated Learning for Label Noise Correction


Apr 10, 2022
Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong

* Accepted at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. 18 pages, 10 figures (including supplementary material). First two authors contributed equally. Code is available at: https://github.com/Xu-Jingyi/FedCorr 

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UAV Trajectory and Beamforming Optimization for Integrated Periodic Sensing and Communication


Mar 19, 2022
Kaitao Meng, Qingqing Wu, Shaodan Ma, Wen Chen, Tony Q. S. Quek

* IEEE Wireless Communications Letters, 2022 
* Accepted by IEEE Wireless Communications Letters 

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Federated Stochastic Gradient Descent Begets Self-Induced Momentum


Feb 17, 2022
Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor


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Networking of Internet of UAVs: Challenges and Intelligent Approaches


Nov 13, 2021
Peng Yang, Xianbin Cao, Tony Q. S. Quek, Dapeng Oliver Wu


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Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching


Nov 02, 2021
Shengheng Liu, Chong Zheng, Yongming Huang, Tony Q. S. Quek

* 15 pages, 9 figures, under review with the IEEE Journal on Selected Areas in Communications 

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Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception


Oct 15, 2021
Zhengchuan Chen, Yifan Feng, Chundie Feng, Liang Liang, Yunjian Jia, Tony Q. S. Quek


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Secrecy Offloading Rate Maximization for Multi-Access Mobile Edge Computing Networks


Sep 21, 2021
Mingxiong Zhao, Huiqi Bao, Li Yin, Jianping Yao, Tony Q. S. Quek

* Double-column, 5 pages, 3 figures, accepted for publication at the IEEE Communications Letter 

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Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks


Aug 20, 2021
Chenyuan Feng, Howard H. Yang, Deshun Hu, Zhiwei Zhao, Tony Q. S. Quek, Geyong Min


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Dynamic Attention-based Communication-Efficient Federated Learning


Aug 12, 2021
Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek

* 7 pages, 3 figures, presented at the International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality (FTL-IJCAI 2021) in conjunction with the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021 

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