Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

11 October 2020

Papers citing "Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms"

50 / 67 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
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 102 0 0 09 Mar 2025
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
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 49 6 0 27 Oct 2024
Distributed Learning for UAV Swarms Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie FedML 26 0 0 21 Oct 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
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 59 0 0 03 Oct 2024
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness Boyuan Li Zihao Peng Yafei Li Mingliang Xu Shengbo Chen Baofeng Ji Cong Shen FedML 60 0 0 26 Aug 2024
Federated Frank-Wolfe Algorithm Ali Dadras Sourasekhar Banerjee Karthik Prakhya A. Yurtsever FedML 32 4 0 19 Aug 2024
FedLog: Personalized Federated Classification with Less Communication and More Flexibility Haolin Yu Guojun Zhang Pascal Poupart FedML 32 0 0 11 Jul 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 37 0 0 04 Jun 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 53 1 0 23 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
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 31 0 0 25 Feb 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 31 0 0 29 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
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 42 8 0 10 Jan 2024
Leveraging Function Space Aggregation for Federated Learning at Scale Nikita Dhawan Nicole Mitchell Zachary B. Charles Zachary Garrett Gintare Karolina Dziugaite FedML 24 3 0 17 Nov 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 30 4 0 30 Sep 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
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay Atanasov Sonia Martinez 32 1 0 05 Sep 2023
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients Yao Shu Xiaoqiang Lin Zhongxiang Dai Bryan Kian Hsiang Low FedML 15 5 0 08 Aug 2023
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection Nasimeh Heydaribeni Ruisi Zhang T. Javidi Cristina Nita-Rotaru F. Koushanfar FedML 50 0 0 04 Aug 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 28 3 0 05 Jul 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 24 2 0 13 Jun 2023
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters Zhenyu Sun Xiaochun Niu Ermin Wei FedML MLT 25 21 0 06 Jun 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Yu Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 43 166 0 29 May 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 35 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
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation Rongyu Zhang Xiaowei Chi Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 33 12 0 27 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 11 0 0 15 Mar 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
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets Marianne A Jonker H. Pazira Anthony C. C. Coolen FedML 20 5 0 15 Feb 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo P. Greengard Hongyi Wang Andrew Gelman Yoon Kim Eric P. Xing FedML 21 20 0 08 Feb 2023
Federated Variational Inference Methods for Structured Latent Variable Models Conor Hassan Roberto Salomone Kerrie Mengersen BDL FedML 21 4 0 07 Feb 2023
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 20 57 0 17 Nov 2022
Federated Bayesian Computation via Piecewise Deterministic Markov Processes J. Bierkens Andrew Duncan FedML 19 1 0 25 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 79 55 0 01 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 43 6 0 26 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 12 140 0 01 Sep 2022
SphereFed: Hyperspherical Federated Learning Xin Dong S. Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 22 53 0 14 Jul 2022
How to Combine Variational Bayesian Networks in Federated Learning Atahan Ozer Kadir Burak Buldu Abdullah Akgul Gözde B. Ünal FedML 25 4 0 22 Jun 2022
Robust One Round Federated Learning with Predictive Space Bayesian Inference Mohsin Hasan Zehao Zhang Kaiyang Guo Mahdi Karami Guojun Zhang Xi Chen Pascal Poupart FedML OOD 22 1 0 20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Bo-wen Li FedML 19 24 0 18 Jun 2022
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 43 85 0 16 Jun 2022
Federated Learning with Uncertainty via Distilled Predictive Distributions Shreyansh P. Bhatt Aishwarya Gupta Piyush Rai FedML 16 10 0 15 Jun 2022
Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process Hao Yu Kaiyang Guo Mahdi Karami Xi Chen Guojun Zhang Pascal Poupart FedML 12 3 0 13 Jun 2022