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Graph Learning Across Data Silos

17 January 2023

Papers citing "Graph Learning Across Data Silos"

30 / 30 papers shown

Title
Multiview Graph Learning with Consensus Graph Abdullah Karaaslanli Selin Aviyente 50 3 0 24 Jan 2024
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 88 56 0 16 Jun 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 106 56 0 02 Mar 2022
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity Jian-Feng Cai José Vinícius de Miranda Cardoso Daniel P. Palomar Jiaxi Ying 80 11 0 03 Dec 2021
Learning to Learn Graph Topologies Xingyue Pu Tianyue Cao Xiaoyun Zhang Xiaowen Dong Siheng Chen 67 41 0 19 Oct 2021
Time-varying Graph Learning Under Structured Temporal Priors Xiang Zhang Qiao Wang CML 61 5 0 11 Oct 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 130 283 0 23 Aug 2021
Joint Network Topology Inference via Structured Fusion Regularization Yanli Yuan D. Soh Xiao Yang Kun Guo Tony Q.S. Quek 87 2 0 05 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 335 878 0 01 Mar 2021
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models Ruiyuan Wu Anna Scaglione Hoi-To Wai Nurullah Karakoç Kari Hreinsson Wing-Kin Ma FedML 43 20 0 27 Dec 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 94 1,008 0 16 Jun 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 261 1,791 0 18 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 135 579 0 25 Feb 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 279 6,307 0 10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 135 4,555 0 21 Aug 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 86 115 0 22 Apr 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 807 8,597 0 03 Jan 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 190 5,247 0 14 Dec 2018
Adaptive Online Learning in Dynamic Environments Lijun Zhang Shiyin Lu Zhi Zhou 75 185 0 25 Oct 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 134 382 0 03 Jun 2018
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 162 1,818 0 30 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 835 11,961 0 09 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 280 4,168 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 414 17,615 0 17 Feb 2016
How to learn a graph from smooth signals Vassilis Kalofolias 90 516 0 11 Jan 2016
Learning a Common Substructure of Multiple Graphical Gaussian Models Satoshi Hara Takashi Washio CML 131 33 0 01 Mar 2012
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 493 1,379 0 13 Oct 2010
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 253 873 0 21 Nov 2008
Regularized estimation of large covariance matrices Peter J. Bickel Elizaveta Levina 402 1,386 0 13 Mar 2008
A Tutorial on Spectral Clustering U. V. Luxburg 290 10,550 0 01 Nov 2007