most citedFedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training

12 citations · 12 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 12 cited

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training

Quan Nguyen, Hieu H. Pham, Kok-Seng Wong +3

We introduce FedDCT, a novel distributed learning paradigm that enables the usage of large, high-performance CNNs on resource-limited edge devices. As opposed to traditional FL app…