Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective. - Yun Ji; Zhoubin Kou; Xiaoxiong Zhong; Hangfan Li; Fan Yang 086; Sheng Zhang (GLOBECOM, 2022)

Semi-Asynchronous Federated Edge Learning for Over-the-Air Computation. - Zhoubin Kou; Yun Ji; Xiaoxiong Zhong; Sheng Zhang (GLOBECOM, 2023)

Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation. - Zhoubin Kou; Yun Ji; Xiaoxiong Zhong; Sheng Zhang (CoRR, 2023)

Efficiency-Boosting Federated Learning in Wireless Networks: A Long-Term Perspective. - Yun Ji; Xiaoxiong Zhong; Zhoubin Kou; Sheng Zhang; Hangfan Li; Yuanyuan Yang 001 (IEEE Trans. Veh. Technol., 2023)

Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory. - Danni Yang; Yun Ji; Zhoubin Kou; Xiaoxiong Zhong; Sheng Zhang (WCNC, 2024)

Semi-Asynchronous Over-the-Air Federated Learning Over Heterogeneous Edge Devices. - Zhoubin Kou; Yun Ji; Danni Yang; Sheng Zhang; Xiaoxiong Zhong (IEEE Trans. Veh. Technol., 2025)