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1902.01046
Cited By
Towards Federated Learning at Scale: System Design
4 February 2019
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
Vladimir Ivanov
Chloé Kiddon
Jakub Konecný
S. Mazzocchi
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
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Papers citing
"Towards Federated Learning at Scale: System Design"
50 / 436 papers shown
Title
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Dimitris Stripelis
Hamza Saleem
Tanmay Ghai
Nikhil J. Dhinagar
Umang Gupta
...
Greg Ver Steeg
Yu Yang
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
46
53
0
07 Aug 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison
Muhammad Asad
Ahmed Moustafa
Takayuki Ito
FedML
30
42
0
22 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
26
85
0
16 Jul 2021
Revisiting IoT Device Identification
Roman Kolcun
Diana Andreea Popescu
Vadim Safronov
Poonam Yadav
A. Mandalari
Richard Mortier
Hamed Haddadi
40
30
0
16 Jul 2021
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Shaashwat Agrawal
Sagnik Sarkar
M. Alazab
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
Viet Quoc Pham
FedML
24
51
0
15 Jul 2021
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
187
412
0
14 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
42
79
0
09 Jul 2021
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
22
6
0
07 Jul 2021
Gradient-Leakage Resilient Federated Learning
Wenqi Wei
Ling Liu
Yanzhao Wu
Gong Su
Arun Iyengar
FedML
19
81
0
02 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
29
21
0
02 Jul 2021
Federated Noisy Client Learning
Huazhu Fu
Li Li
Bo Han
Chengzhong Xu
Ling Shao
FedML
28
26
0
24 Jun 2021
A Vertical Federated Learning Framework for Graph Convolutional Network
Xiang Ni
Xiaolong Xu
Lingjuan Lyu
Changhua Meng
Weiqiang Wang
FedML
19
36
0
22 Jun 2021
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
FedML
AI4CE
47
24
0
22 Jun 2021
Secure Distributed Training at Scale
Eduard A. Gorbunov
Alexander Borzunov
Michael Diskin
Max Ryabinin
FedML
26
15
0
21 Jun 2021
Adversarial Examples Make Strong Poisons
Liam H. Fowl
Micah Goldblum
Ping Yeh-Chiang
Jonas Geiping
Wojtek Czaja
Tom Goldstein
SILM
32
132
0
21 Jun 2021
Zero-Shot Federated Learning with New Classes for Audio Classification
Gautham Krishna Gudur
S. K. Perepu
FedML
18
10
0
18 Jun 2021
On Large-Cohort Training for Federated Learning
Zachary B. Charles
Zachary Garrett
Zhouyuan Huo
Sergei Shmulyian
Virginia Smith
FedML
21
113
0
15 Jun 2021
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen
Kshitiz Malik
Hongyuan Zhan
Ashkan Yousefpour
Michael G. Rabbat
Mani Malek
Dzmitry Huba
FedML
33
289
0
11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
Maximilian Lam
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
Michael Mitzenmacher
FedML
15
63
0
10 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu
Kaixuan Huang
Jingzhao Zhang
Longbo Huang
FedML
35
96
0
08 Jun 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
41
28
0
07 Jun 2021
Federated Neural Collaborative Filtering
V. Perifanis
P. Efraimidis
FedML
18
92
0
02 Jun 2021
Triggerflow: Trigger-based Orchestration of Serverless Workflows
Aitor Arjona
Pedro García-López
Josep Sampé
Aleksander Slominski
Lionel Villard
9
60
0
01 Jun 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
Qian Chen
Zilong Wang
Wenjing Zhang
Xiaodong Lin
FedML
33
17
0
30 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
27
46
0
17 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
Yi Pan
FedML
38
36
0
10 May 2021
Loss Tolerant Federated Learning
Pengyuan Zhou
Pei Fang
Pan Hui
15
16
0
08 May 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta
Dmitris Stripelis
Pradeep Lam
Paul M. Thompson
J. Ambite
Greg Ver Steeg
MIACV
FedML
29
32
0
06 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
Md. Abdullah Al Alamin
Gias Uddin
37
11
0
03 May 2021
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
56
244
0
29 Apr 2021
Multi-resource allocation for federated settings: A non-homogeneous Markov chain model
Syed Eqbal Alam
Fabian R. Wirth
Jia Yuan Yu
14
0
0
26 Apr 2021
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks
Bofu Yang
Omobayode Fagbohungbe
Xuelin Cao
Chau Yuen
Lijun Qian
Dusit Niyato
Yan Zhang
39
31
0
19 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin
Arun Mallya
Arash Vahdat
J. Álvarez
Jan Kautz
Pavlo Molchanov
FedML
25
460
0
15 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
45
402
0
05 Apr 2021
FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic
Aman Priyanshu
Rakshit Naidu
FedML
11
4
0
05 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Daniele Romanini
A. Hall
Pavlos Papadopoulos
Tom Titcombe
Abbas Ismail
Tudor Cebere
R. Sandmann
Robin Roehm
Michael A. Hoeh
FedML
MU
18
91
0
01 Apr 2021
Federated Learning: A Signal Processing Perspective
Tomer Gafni
Nir Shlezinger
Kobi Cohen
Yonina C. Eldar
H. Vincent Poor
FedML
39
128
0
31 Mar 2021
Privacy and Trust Redefined in Federated Machine Learning
Pavlos Papadopoulos
Will Abramson
A. Hall
Nikolaos Pitropakis
William J. Buchanan
33
42
0
29 Mar 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
58
34
0
25 Mar 2021
Federated Quantum Machine Learning
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
AI4CE
24
117
0
22 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
R. Harpaz
Steve Bright
FedML
16
9
0
12 Mar 2021
Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar
A. Raychowdhury
AAML
FedML
23
20
0
11 Mar 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu
Nathalie Baracaldo
Yi Zhou
Ali Anwar
J. Joshi
Heiko Ludwig
FedML
13
75
0
05 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
37
32
0
04 Mar 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Yansong Gao
Minki Kim
Chandra Thapa
Sharif Abuadbba
Zhi-Li Zhang
S. Çamtepe
Hyoungshick Kim
Surya Nepal
30
59
0
03 Mar 2021
On the Utility of Gradient Compression in Distributed Training Systems
Saurabh Agarwal
Hongyi Wang
Shivaram Venkataraman
Dimitris Papailiopoulos
38
46
0
28 Feb 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
189
268
0
26 Feb 2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems
Ranwa Al Mallah
Godwin Badu-Marfo
Bilal Farooq
37
19
0
26 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
183
126
0
16 Feb 2021
Scaling Neuroscience Research using Federated Learning
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
FedML
50
28
0
16 Feb 2021
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