DFRD: Data-Free Robustness Distillation for Heterogeneous Federated
Learning

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning

24 September 2023

Shuai Wang

Xiang Li

Papers citing "DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning"

7 / 7 papers shown

Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 95 0 0 08 May 2025
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 38 0 0 04 Jun 2024
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 455 0 01 May 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 784 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 943 0 03 Feb 2021
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,189 0 30 Oct 2016