98 citations · 130 across the 4 of their papers we have counts for
4 papers
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
Peichun Li, Guoliang Cheng, Xumin Huang +4
In this work, we investigate the challenging problem of on-demand federated learning (FL) over heterogeneous edge devices with diverse resource constraints. We propose a cost-adjus…
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning
Jiadong Yu, Yang Li, Xiaolan Liu +3
By employing powerful edge servers for data processing, mobile edge computing (MEC) has been recognized as a promising technology to support emerging computation-intensive applicat…
A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains
Yuntao Wang, Haixia Peng, Zhou Su +3
Proof of work (PoW), as the representative consensus protocol for blockchain, consumes enormous amounts of computation and energy to determine bookkeeping rights among miners but d…
QoS-Oriented Sensing-Communication-Control Co-Design for UAV-Enabled Positioning
Zijie Wang, Rongke Liu, Qirui Liu +1
Unmanned aerial vehicle (UAV)-enabled positioning that uses UAVs as aerial anchor nodes is a promising solution for providing positioning services in harsh environments. In previou…