Personalized Federated Learning via Variational Bayesian Inference

16 June 2022

Papers citing "Personalized Federated Learning via Variational Bayesian Inference"

50 / 53 papers shown

Title
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift Yu Zhu Zehang Richard Li OOD CML 29 0 0 04 May 2025
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
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Jiaqi Wang Ziyi Yin Quanzeng You Lingjuan Lyu Fenglong Ma FedML 69 0 0 27 Dec 2024
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 85 0 0 27 Nov 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 36 0 0 18 Oct 2024
Federated Neural Nonparametric Point Processes Hui Chen Hengyu Liu Hengyu Liu Xuhui Fan Zhilin Zhao Feng Zhou Christopher J. Quinn Longbing Cao FedML 38 0 0 08 Oct 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 26 1 0 24 Sep 2024
Personalized Multi-tier Federated Learning Sourasekhar Banerjee Ali Dadras A. Yurtsever Monowar Bhuyan FedML 51 3 0 19 Jul 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 39 3 0 03 Jul 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 78 1 0 23 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 34 8 0 18 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 27 0 0 29 May 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification Hui Chen Hengyu Liu Zhangkai Wu Xuhui Fan LongBing Cao FedML 33 2 0 24 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 39 9 0 14 Apr 2024
Bayesian Federated Model Compression for Communication and Computation Efficiency Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau 24 0 0 11 Apr 2024
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models John Fischer Marko Orescanin Justin Loomis Patrick McClure FedML 32 3 0 22 Mar 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 28 0 0 25 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 40 27 0 01 Feb 2024
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation Jiaqi Wang Yuzhong Chen Yuhang Wu Mahashweta Das Hao-Yu Yang Fenglong Ma FedML 41 6 0 29 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Joey Tianyi Zhou Howard H. Yang Zuo-Qiang Liu FedML 37 6 0 17 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 34 5 0 16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 27 3 0 17 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 23 9 0 13 Oct 2023
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Hui Chen Hengyu Liu LongBing Cao Tiancheng Zhang FedML 47 3 0 27 Sep 2023
Federated PAC-Bayesian Learning on Non-IID data Zihao Zhao Yang Liu Wenbo Ding Xiaoping Zhang FedML 19 2 0 13 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay A. Atanasov Sonia Martinez 27 1 0 05 Sep 2023
Federated Neuro-Symbolic Learning Pengwei Xing Songtao Lu Han Yu FedML 31 2 0 29 Aug 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang Xingyi Yang Suhan Cui Liwei Che Lingjuan Lyu Dongkuan Xu Fenglong Ma FedML 18 44 0 16 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 18 7 0 14 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 22 3 0 05 Jul 2023
FedBone: Towards Large-Scale Federated Multi-Task Learning Yiqiang Chen Teng Zhang Xinlong Jiang Qian Chen Chenlong Gao Wuliang Huang FedML AI4CE 24 11 0 30 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 24 2 0 13 Jun 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 18 3 0 23 May 2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu Xingchen Ma Matthew B. Blaschko FedML 33 19 0 21 May 2023
FedHB: Hierarchical Bayesian Federated Learning Minyoung Kim Timothy M. Hospedales FedML 33 6 0 08 May 2023
Bayesian Federated Learning: A Survey LongBing Cao Hui Chen Xuhui Fan João Gama Yew-Soon Ong Vipin Kumar FedML 26 21 0 26 Apr 2023
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Xu Zhang Wenpeng Li Yunfeng Shao Yinchuan Li FedML 19 4 0 08 Mar 2023
Federated Variational Inference Methods for Structured Latent Variable Models Conor Hassan Roberto Salomone Kerrie Mengersen BDL FedML 18 4 0 07 Feb 2023
Cross-Fusion Rule for Personalized Federated Learning Wangzhuo Yang Bo Chen Yijun Shen Jiong Liu Li Yu FedML 11 0 0 06 Feb 2023
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks Yeguang Qin Yilin Yang Fengxiao Tang Xin Yao Mingde Zhao Nei Kato 30 6 0 05 Dec 2022
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 23 3 0 19 Nov 2022
Tensor Decomposition based Personalized Federated Learning Qing Wang Jing Jin Xiaofeng Liu Huixuan Zong Yunfeng Shao Yinchuan Li FedML 21 3 0 27 Aug 2022
How to Combine Variational Bayesian Networks in Federated Learning Atahan Ozer Kadir Burak Buldu Abdullah Akgul Gözde B. Ünal FedML 23 4 0 22 Jun 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting Xin-Chun Li Jin-Lin Tang Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao Le Gan De-Chuan Zhan FedML AAML 25 9 0 17 Jun 2022
Federated Learning with Uncertainty via Distilled Predictive Distributions Shreyansh P. Bhatt Aishwarya Gupta Piyush Rai FedML 16 10 0 15 Jun 2022
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi-An Ma Zhao-quan Song Guang Lin FedML 27 16 0 09 Dec 2021
Sparse Personalized Federated Learning Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng FedML 33 6 0 12 Jul 2021