3 papers
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…
eess.SY2022
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems
Yulan Gao, Ziqiang Ye, Han Yu +3
This work poses a distributed multi-resource allocation scheme for minimizing the weighted sum of latency and energy consumption in the on-device distributed federated learning (FL…