Confidence-aware Personalized Federated Learning via Variational
Expectation Maximization

Confidence-aware Personalized Federated Learning via Variational Expectation Maximization

21 May 2023

Matthew B. Blaschko

Papers citing "Confidence-aware Personalized Federated Learning via Variational Expectation Maximization"

11 / 11 papers shown

Title
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 103 0 0 26 Mar 2025
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 75 0 0 14 Dec 2024
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization Shivam Pal Aishwarya Gupta Saqib Sarwar Piyush Rai FedML 76 0 0 27 Nov 2024
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Tong Xia Abhirup Ghosh Xinchi Qiu Cecilia Mascolo 21 3 0 13 Jun 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 48 1 0 23 May 2024
Balancing Similarity and Complementarity for Federated Learning Kunda Yan Sen Cui Abudukelimu Wuerkaixi Jingfeng Zhang Bo Han Gang Niu Masashi Sugiyama Changshui Zhang FedML 32 1 0 16 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 33 3 0 03 May 2024
Prompt-based Personalized Federated Learning for Medical Visual Question Answering He Zhu Ren Togo Takahiro Ogawa Miki Haseyama MedIm 16 5 0 15 Feb 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 34 6 0 30 Nov 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 30 8 0 29 Jan 2023
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 165 9,327 0 28 May 2015