Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. - Zhe Li 083; Bicheng Ying; Zidong Liu; Haibo Yang 001 (CoRR, 2024)

Achieving Extremely Low Communication Overhead in Federated Learning via Zeroth-Order SignSGD. - Zhe Li 083; Bicheng Ying; Dandan Liang; Zidong Liu; Rui Li; Haibo Yang 001 (IEEECONF, 2025)

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. - Zhe Li 083; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang 001 (ICLR, 2025)

FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. - Zhe Li 083; Seyedsina Nabavirazavi; Bicheng Ying; S. Sitharama Iyengar; Haibo Yang 001 (IJCAI, 2025)

From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning. - Bicheng Ying; Zhe Li 083; Haibo Yang 001 (CoRR, 2025)

Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning. - Zhe Li 083; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang 001 (CoRR, 2025)

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach. - Dandan Liang; Jianing Zhang; Evan Chen; Zhe Li 083; Rui Li; Haibo Yang 001 (CoRR, 2025)

Exploring Large Language Models' Potential for Privacy Leakage Detection in Android App Logs: An Empirical Study. - Zhiyuan Chen; Vanessa Nava-Camal; Tiash Roy; Zhe Li 083; Yiming Tang 002; Xueling Zhang; Haibo Yang 001 (IEEE Softw., 2026)

HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training. - Aakriti Lnu; Zhe Li 083; Dandan Liang; Chao Huang 028; Rui Li; Haibo Yang 001 (CoRR, 2026)

Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective. - Zhe Li 083; Bicheng Ying; Zidong Liu; Haibo Yang 001 (CoRR, 2026)