Combating Exacerbated Heterogeneity for Robust Models in Federated
Learning

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning

1 March 2023

Jiangchao Yao

Bo Han

Papers citing "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

5 / 5 papers shown

Title
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 77 43 0 22 May 2022
Federated Learning Aggregation: New Robust Algorithms with Guarantees Adnane Mansour Gaia Carenini Alexandre Duplessis D. Naccache OOD FedML 66 10 0 22 May 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 77 46 0 20 Feb 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 258 3,109 0 04 Nov 2016