Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data

1 December 2021

Papers citing "Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data"

5 / 5 papers shown

Title
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong H. Son Seohu Lee Jayun Hyun T. Chung FedML 54 5 0 20 Feb 2025
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 24 13 0 28 Nov 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 27 9 0 29 Jan 2023
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park C. Hong FedML 18 6 0 28 Oct 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 786 0 15 Feb 2021