1 citations · 3 across the 3 of their papers we have counts for
6 papers
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing
Rui Li, Tao Ouyang, Liekang Zeng +3
Collaborative Edge Computing (CEC) is an emerging paradigm that collaborates heterogeneous edge devices as a resource pool to compute DNN inference tasks in proximity such as edge…
Ray computational ghost imaging based on rotational modulation method
Zhi Zhou, Sangang Li, Shan Liao +8
The CGI (CGI) has the potential of low cost, low dose, and high resolution, which is very attractive for the development of radiation imaging field. However, many sub-coding plates…
BeeFlow: Behavior Tree-based Serverless Workflow Modeling and Scheduling for Resource-Constrained Edge Clusters
Ke Luo, Tao Ouyang, Zhi Zhou +1
Serverless computing has gained popularity in edge computing due to its flexible features, including the pay-per-use pricing model, auto-scaling capabilities, and multi-tenancy sup…
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets
Huirong Ma, Zhi Zhou, Xiaoxi Zhang +1
Provisioning dynamic machine learning (ML) inference as a service for artificial intelligence (AI) applications of edge devices faces many challenges, including the trade-off among…
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu, Xu Chen, Tao Ouyang +4
Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data locally. However, for ma…
Modified BDF2 schemes for subdiffusion models with a singular source term
Minghua Chen, Jiankang Shi, Zhi Zhou
The aim of this paper is to study the time stepping scheme for approximately solving the subdiffusion equation with a weakly singular source term. In this case, many popular time s…