Vertical federated learning based on DFP and BFGS

23 January 2021

Papers citing "Vertical federated learning based on DFP and BFGS"

13 / 13 papers shown

Title
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning Hangyu Zhu Rui Wang Yaochu Jin K. Liang Jianting Ning FedML 70 47 0 25 Nov 2020
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
First Analysis of Local GD on Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik FedML 63 172 0 10 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 121 4,514 0 21 Aug 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 138 2,333 0 04 Jul 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 72 2,318 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
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 74 878 0 31 Dec 2018
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,176 0 14 Dec 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 65 536 0 29 Nov 2017
A Survey on Homomorphic Encryption Schemes: Theory and Implementation Abbas Acar Hidayet Aksu A. S. Uluagac Mauro Conti 97 1,077 0 12 Apr 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 297 4,643 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 397 17,468 0 17 Feb 2016