3 papers
cs.DC2023
Unleashing the Potential of Stage-Wise Decision-Making in Scheduling of Graph-Structured Tasks over Mobile Vehicular Clouds
Minghui Liwang, Bingshuo Guo, Zhanxi Ma +5
To effectively process high volume of data across a fleet of dynamic and distributed vehicles, it is crucial to implement resource provisioning techniques that can provide reliable…
cs.DC2023
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour +4
By opportunistically engaging mobile users (workers), mobile crowdsensing (MCS) networks have emerged as important approach to facilitate sharing of sensed/gathered data of heterog…
cs.LG2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
In federated learning (FL), distributed clients can collaboratively train a shared global model while retaining their own training data locally. Nevertheless, the performance of FL…