SEDML: Securely and efficiently harnessing distributed knowledge in machine learning. - Yansong Gao 001; Qun Li 005; Yifeng Zheng; Guohong Wang; Jiannan Wei; Mang Su (Comput. Secur., 2022)

MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning. - Hua Ma; Qun Li 005; Yifeng Zheng; Zhi Zhang 001; Xiaoning Liu 002; Yansong Gao 001; Said F. Al-Sarawi; Derek Abbott (CoRR, 2022)

Towards privacy-preserving and verifiable federated matrix factorization. - Xicheng Wan; Yifeng Zheng; Qun Li 005; Anmin Fu; Mang Su; Yansong Gao 001 (Knowl. Based Syst., 2022)

Vertical Federated Learning: Taxonomies, Threats, and Prospects. - Qun Li 005; Chandra Thapa; Lawrence Ong; Yifeng Zheng; Hua Ma; Seyit Ahmet Çamtepe; Anmin Fu; Yansong Gao 001 (CoRR, 2023)

MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning. - Hua Ma; Qun Li 005; Yifeng Zheng; Zhi Zhang 001; Xiaoning Liu 002; Yansong Gao 001; Said F. Al-Sarawi; Derek Abbott (Comput. Secur., 2023)