most citedFedProc: Prototypical Contrastive Federated Learning on Non-IID data

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 11 cited

FedProc: Prototypical Contrastive Federated Learning on Non-IID data

Xutong Mu, Yulong Shen, Ke Cheng +4

Federated learning allows multiple clients to collaborate to train high-performance deep learning models while keeping the training data locally. However, when the local data of al…

cs.CV2021

NTIRE 2021 Multi-modal Aerial View Object Classification Challenge

Jerrick Liu, Nathan Inkawhich, Oliver Nina +30

In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This challenge is comp…