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Liqun Su
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 6
Top Topics
Online Learning
Data Partitioning
Learning Process
Bandwidth Allocation
Top Venues
IEEE Internet Things J.
ICC
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Publications
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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)