Liqun Su

According to our database, Liqun Su authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum.

Liqun Su, Vincent K. N. Lau

IEEE Internet Things J., April, 2024

2023

Robust Federated Learning Over Noisy Fading Channels.

Suhail M. Shah, Liqun Su, Vincent K. N. Lau

IEEE Internet Things J., 2023

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

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

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

2021

Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors.

Liqun Su, Vincent K. N. Lau

IEEE Internet Things J., 2021

Distributed Edge Learning with Inter-Type and Intra-Type Over-the-Air Collaboration.

Liqun Su, Vincent K. N. Lau

Proceedings of the ICC 2021, 2021