Personalized Federated Learning by Structured and Unstructured Pruning
under Data Heterogeneity

Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity

2 May 2021

Saeed Vahidian

Papers citing "Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity"

8 / 8 papers shown

Title
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 64 11 0 28 Feb 2025
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 34 3 0 14 Jun 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization Bailey J. Eccles Leon Wong Blesson Varghese 33 2 0 22 Apr 2024
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning Xiaopeng Jiang Cristian Borcea FedML 23 15 0 10 Mar 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 21 11 0 09 Jan 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 30 11 0 24 Dec 2022
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 40 45 0 21 Sep 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 16 43 0 27 Jan 2022