most citedHiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2024

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…

cs.DC2023

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…

cs.NI2023★ 1 cited

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…