45 citations · 71 across the 20 of their papers we have counts for
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cs.LG2023
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
Yulan Gao, Ziqiang Ye, Yue Xiao +1
The paradigm of federated learning (FL) to address data privacy concerns by locally training parameters on resource-constrained clients in a distributed manner has garnered signifi…
eess.SY2023
Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing
Ziqiang Ye, Yulan Gao, Yue Xiao +3
In this paper, we aim to address the challenge of hybrid mobile edge-quantum computing (MEQC) for sustainable task offloading scheduling in mobile networks. We develop cost-effecti…
cs.LG2023★ 1 cited
Multi-Tier Client Selection for Mobile Federated Learning Networks
Yulan Gao, Yansong Zhao, Han Yu
Federated learning (FL), which addresses data privacy issues by training models on resource-constrained mobile devices in a distributed manner, has attracted significant research a…