Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

15 December 2023

Papers citing "Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space"

8 / 8 papers shown

Title
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 76 0 0 19 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 63 0 0 10 Mar 2025
One-shot Federated Learning Methods: A Practical Guide Xiang Liu Zhenheng Tang Xia Li Yijun Song Sijie Ji Zemin Liu Bo Han Linshan Jiang Jialin Li FedML 87 1 0 13 Feb 2025
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip H. S. Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 27 2 0 07 Oct 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 29 0 0 04 Jun 2024
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization Fan Zhang Carlos Esteve-Yagüe Sören Dittmer Carola-Bibiane Schönlieb Michael Roberts FedML 25 0 0 29 May 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 66 8 0 02 Feb 2024
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021