Secure Bilevel Asynchronous Vertical Federated Learning with Backward
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Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

1 March 2021

Heng-Chiao Huang

Papers citing "Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating"

17 / 17 papers shown

Title
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning Bin Gu An Xu Zhouyuan Huo Cheng Deng Heng-Chiao Huang FedML 75 28 0 14 Aug 2020
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data Bin Gu Zhiyuan Dang Xiang Li Heng-Chiao Huang FedML 32 67 0 14 Aug 2020
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization Feihu Huang Songcan Chen Heng-Chiao Huang 30 38 0 04 Aug 2020
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig FedML 56 288 0 12 Dec 2019
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 232 6,247 0 10 Dec 2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression Kairan Yang Tao Fan Tianjian Chen Yuanming Shi Qiang Yang FedML 63 93 0 01 Dec 2019
Federated Forest Yang Liu Yingting Liu Zhijie Liu Junbo Zhang Chuishi Meng Yu Zheng FedML 67 145 0 24 May 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 72 2,311 0 13 Feb 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 95 583 0 25 Jan 2019
Feature-Distributed SVRG for High-Dimensional Linear Classification Gong-Duo Zhang Shen-Yi Zhao Hao Gao Wu-Jun Li 38 17 0 10 Feb 2018
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption Stephen Hardy Wilko Henecka Hamish Ivey-Law Richard Nock Giorgio Patrini Guillaume Smith Brian Thorne FedML 55 536 0 29 Nov 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 150 1,808 0 30 May 2017
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization Tianlin Li Shiqian Ma D. Goldfarb Wen Liu 63 177 0 05 Jul 2016
ASAGA: Asynchronous Parallel SAGA Rémi Leblond Fabian Pedregosa Simon Lacoste-Julien AI4TS 60 101 0 15 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 394 17,453 0 17 Feb 2016
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization Xiangru Lian Yijun Huang Y. Li Ji Liu 135 499 0 27 Jun 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 131 1,822 0 01 Jul 2014