Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 48
| Issue Date | Title | Author(s) |
 | 2024 | Cross-domain learning framework for tracking users in RIS-aided multi-band ISAC systems with sparse labeled data | Hu, Jingzhi; Niyato, Dusit; Luo, Jun |
| 2024 | Dynamic user clustering for efficient and privacy-preserving federated learning | Liu, Ziyao; Guo, Jiale; Yang, Wenzhuo; Fan, Jiani; Lam, Kwok-Yan; Zhao, Jun |
| | 2024 | Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis | Premanand, Rithwik; Sharma, Shubha; Vishwakarma, Narendra; Singh, Ranjan; Madhukumar, A. S. |
| | 2024 | RIS-assisted hybrid FSO/THz system with diversity combining schemes: a performance analysis | Vishwakarma, Narendra; Swaminathan, R.; Premanand, Rithwik; Sharma, Shubha; Madhukumar, A. S. |
| 2022 | Exploring public transport transfer opportunities for Pareto search of multicriteria journeys | He, Peilan; Jiang, Guiyuan; Lam, Siew-Kei; Sun, Yidan; Ning, Fangxin |
| 2020 | A multi-scale attributes attention model for transport mode identification | Jiang, Guiyuan; Lam, Siew-Kei; He, Peilan; Ou, Changhai; Ai, Dihao |
| | 2024 | Achieving 500x acceleration for adversarial robustness verification of tree-based smart grid dynamic security assessment | Ren, Chao; Zou, Chunran; Xiong, Zehui; Yu, Han; Dong, Zhao Yang; Dusit, Niyato |
 | 2024 | Subject-independent meta-learning framework towards optimal training of EEG-based classifiers | Ng, Han Wei; Guan, Cuntai |
| 2023 | Deep unsupervised representation learning for feature-informed EEG domain extraction | Ng, Han Wei; Guan, Cuntai |
| 2023 | Towards fairness-aware federated learning | Shi, Yuxin; Yu, Han; Leung, Cyril |
| 2022 | BiG-fed: bilevel optimization enhanced graph-aided federated learning | Xing, Pengwei; Lu, Songtao; Wu, Lingfei; Yu, Han |
| 2023 | AI-empowered persuasive video generation: a survey | Liu, Chang; Yu, Han |
| 2023 | Efficient and privacy-preserving feature importance-based vertical federated learning | Li, Anran; Huang, Jiahui; Jia, Ju; Peng, Hongyi; Zhang, Lan; Tuan, Luu Anh; Yu, Han; Li, Xiang-Yang |
| 2024 | Federated graph neural networks: overview, techniques, and challenges | Liu, Rui; Xing, Pengwei; Deng, Zichao; Li, Anran; Guan, Cuntai; Yu, Han |
| 2023 | Securing federated learning: a covert communication-based approach | Xie, Yuan-Ai; Kang, Jiawen; Niyato, Dusit; Nguyen, Thi Thanh Van; Nguyen, Cong Luong; Liu, Zhixin; Yu, Han |
| 2022 | GTG-shapley: efficient and accurate participant contribution evaluation in federated learning | Liu, Zelei; Chen, Yuanyuan; Yu, Han; Liu, Yang; Cui, Lizhen |
| 2022 | Efficient asynchronous multi-participant vertical federated learning | Shi, Haoran; Xu, Yonghui; Jiang, Yali; Yu, Han; Cui, Lizhen |
| 2021 | Topology-aware differential privacy for decentralized image classification | Guo, Shangwei; Zhang, Tianwei; Xu, Guowen; Yu, Han; Xiang, Tao; Liu, Yang |
| 2021 | Byzantine-resilient decentralized stochastic gradient descent | Guo, Shangwei; Zhang, Tianwei; Yu, Han; Xie, Xiaofei; Ma, Lei; Xiang, Tao; Liu, Yang |
| 2022 | Practical attribute reconstruction attack against federated learning | Chen, Chen; Lyu, Lingjuan; Yu, Han; Chen, Gang |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 48
