Caching IoT Resources in Green Brokers at the Application Layer. - Xiang Sun 001; Rana Albelaihi; Zeinab Akhavan (SEC, 2020)

Adaptive Participant Selection in Heterogeneous Federated Learning. - Rana Albelaihi; Xiang Sun 001; Warren D. Craft; Liangkun Yu; Chonggang Wang (GLOBECOM, 2021)

Green Federated Learning via Energy-Aware Client Selection. - Rana Albelaihi; Liangkun Yu; Warren D. Craft; Xiang Sun 001; Chonggang Wang; Robert Gazda (GLOBECOM, 2022)

Jointly Optimizing Client Selection and Resource Management in Wireless Federated Learning for Internet of Things. - Liangkun Yu; Rana Albelaihi; Xiang Sun 001; Nirwan Ansari; Michael Devetsikiotis (IEEE Internet Things J., 2022)

Latency-Aware Semi-Synchronous Client Selection and Model Aggregation for Wireless Federated Learning. - Liangkun Yu; Xiang Sun 001; Rana Albelaihi; Chen Yi (Future Internet, 2023)

Backhaul-Aware Drone Base Station Placement and Resource Management for FSO-Based Drone-Assisted Mobile Networks. - Liangkun Yu; Xiang Sun 001; Sihua Shao; Yougan Chen; Rana Albelaihi (IEEE Trans. Netw. Sci. Eng., 2023)

Deep-Reinforcement-Learning-Assisted Client Selection in Nonorthogonal-Multiple-Access-Based Federated Learning. - Rana Albelaihi; Akhil Alasandagutti; Liangkun Yu; Jingjing Yao; Xiang Sun 001 (IEEE Internet Things J., 2023)

Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning. - Liangkun Yu; Xiang Sun 001; Rana Albelaihi; Chaeeun Park; Sihua Shao (CoRR, 2024)

Mobility Prediction and Resource-Aware Client Selection for Federated Learning in IoT. - Rana Albelaihi (Future Internet, 2025)