most citedJoint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

13 citations · 13 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2022

Multi-user Co-inference with Batch Processing Capable Edge Server

Wenqi Shi, Sheng Zhou, Zhisheng Niu +2

Graphics processing units (GPUs) can improve deep neural network inference throughput via batch processing, where multiple tasks are concurrently processed. We focus on novel scena…

cs.IT2020★ 13 cited

Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

Wenqi Shi, Sheng Zhou, Zhisheng Niu +2

In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication res…