6 papers
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…
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…
Zero-Energy Reconfigurable Intelligent Surfaces (zeRIS)
Dimitrios Tyrovolas, Sotiris A. Tegos, Vasilis K. Papanikolaou +6
A primary objective of the forthcoming sixth generation (6G) of wireless networking is to support demanding applications, while ensuring energy efficiency. Programmable wireless en…
Design of Reconfigurable Intelligent Surface-Aided Cross-Media Communications
Mingming Wu, Yue Xiao, Yulan Gao +1
A novel reconfigurable intelligent surface (RIS)-aided hybrid reflection/transmitter design is proposed for achieving information exchange in cross-media communications. In pursuit…
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…
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Yulan Gao, Yue Xiao, Xianfu Lei +5
Owing to the recent advancements of meta-materials and meta-surfaces, the concept of reconfigurable intelligent surface (RIS) has been embraced to meet the spectral- and energy-eff…