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2207.11456
Cited By
Accelerating Vertical Federated Learning
23 July 2022
Dongqi Cai
Tao Fan
Yan Kang
Lixin Fan
Mengwei Xu
Shangguang Wang
Qiang Yang
FedML
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Papers citing
"Accelerating Vertical Federated Learning"
18 / 18 papers shown
Title
No Free Lunch Theorem for Security and Utility in Federated Learning
Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
FedML
48
64
0
11 Mar 2022
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
267
418
0
14 Jul 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
111
112
0
04 Jan 2021
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu
Heqiang Wang
45
358
0
09 Apr 2020
Federated Neural Architecture Search
Jinliang Yuan
Mengwei Xu
Yuxin Zhao
Kaigui Bian
Gang Huang
Xuanzhe Liu
Shangguang Wang
FedML
52
35
0
15 Feb 2020
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu
Jinshuo Dong
Qi Long
Weijie J. Su
FedML
58
207
0
26 Nov 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
233
774
0
28 Sep 2019
Deep Leakage from Gradients
Ligeng Zhu
Zhijian Liu
Song Han
FedML
92
2,200
0
21 Jun 2019
Hypothesis Testing Interpretations and Renyi Differential Privacy
Borja Balle
Gilles Barthe
Marco Gaboardi
Justin Hsu
Tetsuya Sato
48
114
0
24 May 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
64
1,355
0
07 Mar 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
Distributed Learning over Unreliable Networks
Chen Yu
Hanlin Tang
Cédric Renggli
S. Kassing
Ankit Singla
Dan Alistarh
Ce Zhang
Ji Liu
OOD
76
60
0
17 Oct 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Takayuki Nishio
Ryo Yonetani
FedML
120
1,403
0
23 Apr 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
Asynchronous Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian
Wei Zhang
Ce Zhang
Ji Liu
ODL
44
501
0
18 Oct 2017
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
OOD
AI4TS
174
874
0
22 Mar 2017
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
293
4,642
0
18 Oct 2016
Revisiting Distributed Synchronous SGD
Jianmin Chen
Xinghao Pan
R. Monga
Samy Bengio
Rafal Jozefowicz
82
799
0
04 Apr 2016
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