Liqun Su

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Fading Channels

Data Partitioning

Learning Process

Highly Scalable

Top Venues

IEEE Internet Things J.

Publications

Liqun Su, Vincent K. N. Lau
Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum. IEEE Internet Things J. 11 (8) (2024)
Suhail M. Shah, Liqun Su, Vincent K. N. Lau
Robust Federated Learning Over Noisy Fading Channels. IEEE Internet Things J. 10 (9, May 1) (2023)
Ye Xue, Liqun Su, Vincent K. N. Lau
FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning. IEEE Internet Things J. 9 (19) (2022)
Liqun Su, Vincent K. N. Lau
Data and Channel-Adaptive Sensor Scheduling for Federated Edge Learning via Over-the-Air Gradient Aggregation. IEEE Internet Things J. 9 (3) (2022)
Liqun Su, Vincent K. N. Lau
Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning. IEEE Internet Things J. 9 (21) (2022)
Liqun Su, Vincent K. N. Lau
Distributed Edge Learning with Inter-Type and Intra-Type Over-the-Air Collaboration. ICC (2021)
Liqun Su, Vincent K. N. Lau
Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors. IEEE Internet Things J. 8 (13) (2021)