Joint Edge Association and Aggregation Frequency for Energy-Efficient Hierarchical Federated Learning by Deep Reinforcement Learning. - Yijing Ren; Changxiang Wu; Daniel K. C. So (ICC, 2023)

Adaptive User Scheduling and Resource Allocation in Wireless Federated Learning Networks: A Deep Reinforcement Learning Approach. - Changxiang Wu; Yijing Ren; Daniel K. C. So (ICC, 2023)

Energy-Efficient User-Edge Association and Resource Allocation for NOMA-Based Hierarchical Federated Learning: A Long-Term Perspective. - Yijing Ren; Changxiang Wu; Daniel K. C. So (ICC, 2024)

Hybrid NOMA for Time-Sensitive Wireless Federated Learning Through Lyapunov Optimization Based Resource Scheduling. - Changxiang Wu; Yijing Ren; Daniel K. C. So (ICC Workshops, 2024)

Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network. - Changxiang Wu; Yijing Ren; Daniel K. C. So; Jie Tang 002 (CoRR, 2025)

DRL-Based Joint Aggregation Frequency and Edge Association for Energy-Efficient Hierarchical Federated Learning. - Yijing Ren; Changxiang Wu; Daniel K. C. So; Jie Tang 002 (IEEE Trans. Wirel. Commun., 2025)