Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks

no code implementations • 19 Jul 2023 • Yulan Gao, Ziqiang Ye, Yue Xiao, Wei Xiang

These methods are designed to minimize the cost incurred by the worst-case participant and ensure the long-term fairness of FL in hierarchical Internet of Things (HieIoT) networks.

Fairness Federated Learning +1

Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing

no code implementations • 26 Jun 2023 • Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, Dusit Niyato

We develop cost-effective designs for both task offloading mode selection and resource allocation, subject to the individual link latency constraint guarantees for mobile devices, while satisfying the required success ratio for their computation tasks.

Decision Making Scheduling

Multi-Resource Allocation for On-Device Distributed Federated Learning Systems

no code implementations • 1 Nov 2022 • Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato

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) system.

Federated Learning