Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation. - Wenzhi Fang; Min Fu 003; Kunlun Wang 001; Yuanming Shi; Yong Zhou 006 (GLOBECOM, 2020)

Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming. - Wenzhi Fang; Min Fu 003; Yuanming Shi; Yong Zhou 006 (SAM, 2020)

Optimal Receive Beamforming for Over-the-Air Computation. - Wenzhi Fang; Yinan Zou; Hongbin Zhu; Yuanming Shi; Yong Zhou 006 (SPAWC, 2021)

Over-the-Air Computation via Reconfigurable Intelligent Surface. - Wenzhi Fang; Yuning Jiang 002; Yuanming Shi; Yong Zhou 006; Wei Chen 002; Khaled B. Letaief (IEEE Trans. Commun., 2021)

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning. - Wenzhi Fang; Ziyi Yu; Yuning Jiang 002; Yuanming Shi; Colin N. Jones; Yong Zhou 006 (IEEE Trans. Signal Process., 2022)

Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. - Wenzhi Fang; Dong-Jun Han; Christopher G. Brinton (ICC, 2024)

Hierarchical Federated Learning with Multi-Timescale Gradient Correction. - Wenzhi Fang; Dong-Jun Han; Evan Chen; Shiqiang Wang 001; Christopher G. Brinton (NeurIPS, 2024)

Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. - Dong-Jun Han; Wenzhi Fang; Seyyedali Hosseinalipour; Mung Chiang; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2024)

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. - Seohyun Lee; Wenzhi Fang; Anindya Bijoy Das; Seyyedali Hosseinalipour; David J. Love; Christopher G. Brinton (CoRR, 2025)

Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. - Wenzhi Fang; Dong-Jun Han; Liangqi Yuan; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2025)