most citedFedMCSA: Personalized Federated Learning via Model Components Self-Attention

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

FedMCSA: Personalized Federated Learning via Model Components Self-Attention

Qi Guo, Yong Qi, Saiyu Qi +2

Federated learning (FL) facilitates multiple clients to jointly train a machine learning model without sharing their private data. However, Non-IID data of clients presents a tough…

cs.LG2020

Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer

Qian Li, Qingyuan Hu, Yong Qi +3

Data augmentation have been intensively used in training deep neural network to improve the generalization, whether in original space (e.g., image space) or representation space. A…