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From Distributed Machine Learning to Federated Learning: A Survey
29 April 2021
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
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Papers citing
"From Distributed Machine Learning to Federated Learning: A Survey"
17 / 117 papers shown
Title
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
155
1,478
0
10 May 2018
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
133
1,297
0
20 Dec 2017
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
68
536
0
29 Nov 2017
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL?
A. A. Awan
Ching-Hsiang Chu
Hari Subramoni
D. Panda
GNN
80
46
0
28 Jul 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian
Ce Zhang
Huan Zhang
Cho-Jui Hsieh
Wei Zhang
Ji Liu
50
1,233
0
25 May 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
120
1,404
0
24 Feb 2017
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
306
4,649
0
18 Oct 2016
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck
A. Bellet
Marc Tommasi
FedML
52
231
0
17 Oct 2016
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
216
6,155
0
01 Jul 2016
Distributed TensorFlow with MPI
Abhinav Vishnu
Charles Siegel
J. Daily
51
39
0
07 Mar 2016
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
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data
Ferhat Ozgur Catak
60
12
0
09 Feb 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
280
19,107
0
20 Dec 2014
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
G. Ateniese
G. Felici
L. Mancini
A. Spognardi
Antonio Villani
Domenico Vitali
84
462
0
19 Jun 2013
A Survey on Multi-view Learning
Chang Xu
Dacheng Tao
Chao Xu
AI4TS
114
1,132
0
20 Apr 2013
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks
Jianshu Chen
Ali H. Sayed
99
655
0
31 Oct 2011
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