28 citations · 32 across the 8 of their papers we have counts for
4 papers · 1 filter
Overbook in Advance, Trade in Future: Computing Resource Provisioning in Hybrid Device-Edge-Cloud Networks
Minghui Liwang, Xianbin Wang
The big data processing in distributed Internet of Things (IoT) systems calls for innovative computing architectures and resource provisioning techniques to support real-time and c…
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets
Zhipeng Cheng, Xuwei Fan, Minghui Liwang +2
We investigate a data quality-aware dynamic client selection problem for multiple federated learning (FL) services in a wireless network, where each client offers dynamic datasets…
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Zhipeng Cheng, Minghui Liwang, Xiaoyu Xia +3
Federated learning (FL) represents a promising distributed machine learning paradigm that allows smart devices to collaboratively train a shared model via providing local data sets…
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour +3
This paper investigates a novel hybrid worker recruitment problem where the mobile crowd sensing and computing (MCSC) platform employs workers to serve MCSC tasks with diverse qual…