Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization

13 September 2023

Papers citing "Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization"

4 / 4 papers shown

Title
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition Shuang Zeng Pengxin Guo Shuai Wang Jianbo Wang Yuyin Zhou Liangqiong Qu FedML 21 2 0 22 Aug 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 27 4 0 30 May 2024
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 62 55 0 01 Oct 2022
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 136 1,663 0 14 Apr 2018