Bayesian data fusion with shared priors

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Bayesian data fusion with shared priors

14 December 2022

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Papers citing "Bayesian data fusion with shared priors"

18 / 18 papers shown

Title
Personalized Federated Learning over non-IID Data for Indoor Localization Peng Wu Tales Imbiriba Junha Park Sunwoo Kim Pau Closas FedML 71 28 0 09 Jul 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 73 104 0 29 Jun 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 116 77 0 25 Feb 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 106 140 0 12 Feb 2021
Advances in Importance Sampling Victor Elvira Luca Martino AI4TS 86 107 0 10 Feb 2021
A Bayesian Federated Learning Framework with Online Laplace Approximation Liang Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng-Chiao Huang Ling Shao FedML 93 57 0 03 Feb 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Quoc-Viet Pham Kapal Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 64 202 0 04 Jan 2021
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 62 262 0 04 Sep 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 259 6,276 0 10 Dec 2019
Peer-to-peer Federated Learning on Graphs Anusha Lalitha O. Kilinc T. Javidi F. Koushanfar OOD FedML 109 186 0 31 Jan 2019
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion Tiancheng Li Hongqi Fan Jesús García J. Corchado FedML 81 96 0 23 Jan 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 93 692 0 03 Jul 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression Haitao Liu Jianfei Cai Yi Wang Yew-Soon Ong 62 83 0 03 Jun 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
A Universal Approximation Theorem for Mixture of Experts Models Hien Nguyen Luke R. Lloyd‐Jones Geoffrey J. McLachlan 46 41 0 11 Feb 2016
Importance Sampling: Intrinsic Dimension and Computational Cost S. Agapiou O. Papaspiliopoulos D. Sanz-Alonso Andrew M. Stuart 80 162 0 19 Nov 2015
Generalized Multiple Importance Sampling Victor Elvira Luca Martino D. Luengo M. Bugallo 63 145 0 10 Nov 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 73 341 0 10 Feb 2015

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