most citedFederated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

9 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 9 cited

Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang

Federated learning (FL) is a popular framework for training an AI model using distributed mobile data in a wireless network. It features data parallelism by distributing the learni…

cs.IT2020★ 1 cited

Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels

Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis +1

In this paper, we consider partitioned edge learning (PARTEL), which implements parameter-server training, a well known distributed learning method, in a wireless network. Thereby,…