Secure Federated Learning with Model Compression. - Yahao Ding; Mohammad Shikh-Bahaei; Chongwen Huang; Weijie Yuan 001 (ICC Workshops, 2023)

Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics. - Yahao Ding; Zhaohui Yang 001; Quoc-Viet Pham; Zhaoyang Zhang 001; Mohammad Shikh-Bahaei (CoRR, 2023)

Layer Selection for Secure Federated Learning in Wireless Large AI Model (WLAM). - Yahao Ding; Zhaohui Yang 001; Mohammad Shikh-Bahaei (GLOBECOM (Workshops), 2024)

Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse. - Yahao Ding; Wen Shang; Minrui Xu; Zhaohui Yang 001; Ye Hu; Dusit Niyato; Mohammad Shikh-Bahaei (CoRR, 2024)

Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics. - Yahao Ding; Zhaohui Yang 001; Quoc-Viet Pham; Ye Hu; Zhaoyang Zhang 001; Mohammad Shikh-Bahaei (IEEE Internet Things J., 2024)

Versatile Framework for Drug-Target Interaction Prediction by Considering Domain-Specific Features. - Shuo Liu; Jialiang Yu; Ningxi Ni; Zidong Wang 010; Mengyun Chen; Yuquan Li; Chen Xu; Yahao Ding; Jun Zhang 071; Xiaojun Yao; Huanxiang Liu (J. Chem. Inf. Model., 2024)

Joint Layer Selection and Differential Privacy Design for Federated Learning Over Wireless Networks. - Yahao Ding; Wen Shang; Yinchao Yang; Weihang Ding; Mohammad Shikh-Bahaei (IEEE Internet Things J., 2024)