28 citations · 40 across the 5 of their papers we have counts for
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cs.DC2024
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
Federated Learning (FL) is a promising machine learning approach for Internet of Things (IoT), but it has to address network congestion problems when the population of IoT devices…
cs.DC2023★ 2 cited
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
The large population of wireless users is a key driver of data-crowdsourced Machine Learning (ML). However, data privacy remains a significant concern. Federated Learning (FL) enco…
cs.DC2022
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao +3
Machine learning (ML) is a widely accepted means for supporting customized services for mobile devices and applications. Federated Learning (FL), which is a promising approach to i…