Software-Defined Maritime Fog Computing: Architecture, Advantages, and Feasibility. - Chao Zhu 002; Wenjun Zhang 013; Yi-Han Chiang; Neng Ye; Lei Du; Jianping An (IEEE Netw., 2022)

GeoFed: A Geography-Aware Federated Learning Approach for Vehicular Visual Crowdsensing. - Xinli Hao; Wenjun Zhang 013; Xiaoli Liu 001; Chao Zhu 002; Sasu Tarkoma (ICC, 2024)

FedGK: Communication-Efficient Federated Learning through Group-Guided Knowledge Distillation. - Wenjun Zhang 013; Xiaoli Liu 005; Sasu Tarkoma (ACM Trans. Internet Techn., 2024)

FedVisual: Heterogeneity-Aware Model Aggregation for Federated Learning in Visual-Based Vehicular Crowdsensing. - Wenjun Zhang 013; Xiaoli Liu 005; Ruoyi Zhang; Chao Zhu 002; Sasu Tarkoma (IEEE Internet Things J., 2024)

Federated Learning Meets Urban Opportunistic Crowdsensing in 6G Networks: Opportunities, Challenges, and Optimization Potentials. - Wenjun Zhang 013; Xiaoli Liu 005; Chao Zhu 002; Samu Varjonen; Fangxin Wang 001; Sasu Tarkoma (IEEE Netw., 2025)