Distributed Edge Learning with Inter-Type and Intra-Type Over-the-Air Collaboration. - Liqun Su; Vincent K. N. Lau (ICC, 2021)

Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors. - Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2021)

Data and Channel-Adaptive Sensor Scheduling for Federated Edge Learning via Over-the-Air Gradient Aggregation. - Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2022)

Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning. - Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2022)

FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning. - Ye Xue; Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2022)

Robust Federated Learning Over Noisy Fading Channels. - Suhail M. Shah; Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2023)

Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum. - Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2024)