FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning

6 July 2024

Papers citing "FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning"

6 / 6 papers shown

Title
Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks Ye Lin Tun Chu Myaet Thwal J. Yoon Sun Moo Kang Chaoning Zhang Choong Seon Hong FedML MedIm 30 8 0 28 Nov 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,098 0 10 Sep 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 287 0 01 May 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 178 1,027 0 06 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 74,467 0 18 May 2015