| Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors L Su, VKN Lau IEEE Internet of Things Journal 8 (13), 10922-10939, 2021 | 24 | 2021 |
| Data and channel-adaptive sensor scheduling for federated edge learning via over-the-air gradient aggregation L Su, VKN Lau IEEE Internet of Things Journal 9 (3), 1640-1654, 2021 | 23 | 2021 |
| FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning Y Xue, L Su, VKN Lau IEEE Internet of Things Journal 9 (19), 19330-19345, 2022 | 12 | 2022 |
| Robust Federated Learning Over Noisy Fading Channels SM Shah, L Su, VKN Lau IEEE Internet of Things Journal 10 (9), 7993-8013, 2022 | 6 | 2022 |
| Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning L Su, VKN Lau IEEE Internet of Things Journal 9 (21), 21214-21231, 2022 | 1 | 2022 |
| Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum L Su, VKN Lau IEEE Internet of Things Journal, 2023 | | 2023 |
| Distributed Edge Learning with Inter-Type and Intra-Type Over-the-Air Collaboration L Su, VKN Lau ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | | 2021 |
Vincent LAUChair Professor, HKUSTVerified email at ee.ust.hk
