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Towards Federated Learning at Scale: System Design
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Towards Federated Learning at Scale: System Design"

43 / 1,043 papers shown
Title
Research Directions in Democratizing Innovation through Design
  Automation, One-Click Manufacturing Services and Intelligent Machines
Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
B. Starly
A. Angrish
P. Cohen
AI4CE
49
2
0
23 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image ComputingProceedings of the IEEE (Proc. IEEE), 2019
Daniel Rueckert
Julia A. Schnabel
OODMedImAI4CE
154
54
0
23 Sep 2019
Towards Federated Graph Learning for Collaborative Financial Crimes
  Detection
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
Toyotaro Suzumura
Yi Zhou
Natahalie Barcardo
Guangann Ye
Keith Houck
...
Yuji Watanabe
Pablo S. Loyola
Daniel Klyashtorny
Heiko Ludwig
Kumar Bhaskaran
FedML
179
77
0
19 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive
  Survey
From Server-Based to Client-Based Machine Learning: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2019
Renjie Gu
Chaoyue Niu
Fan Wu
Guihai Chen
Chun Hu
Chengfei Lyu
Zhihua Wu
207
29
0
18 Sep 2019
A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks
A Joint Learning and Communications Framework for Federated Learning over Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2019
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
354
1,304
0
17 Sep 2019
BAFFLE : Blockchain Based Aggregator Free Federated Learning
BAFFLE : Blockchain Based Aggregator Free Federated LearningInternational Congress on Blockchain and Applications (ICBA), 2019
P. Ramanan
K. Nakayama
FedML
207
191
0
16 Sep 2019
Privacy-Preserving Bandits
Privacy-Preserving BanditsConference on Machine Learning and Systems (MLSys), 2019
Mohammad Malekzadeh
D. Athanasakis
Hamed Haddadi
B. Livshits
286
19
0
10 Sep 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks
Hierarchical Federated Learning Across Heterogeneous Cellular NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Mehdi Salehi Heydar Abad
Emre Ozfatura
Deniz Gunduz
Ozgur Ercetin
FedML
188
351
0
05 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future DirectionsIEEE Signal Processing Magazine (IEEE SPM), 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
1.2K
5,314
0
21 Aug 2019
Decentralized Federated Learning: A Segmented Gossip Approach
Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu
Jingyan Jiang
Zhi Wang
FedML
151
207
0
21 Aug 2019
Towards Effective Device-Aware Federated Learning
Towards Effective Device-Aware Federated LearningInternational Conference of the Italian Association for Artificial Intelligence (AIxIA), 2019
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Antonio Ferrara
FedML
119
33
0
20 Aug 2019
Two-stage Federated Phenotyping and Patient Representation Learning
Two-stage Federated Phenotyping and Patient Representation Learning
Dianbo Liu
Dmitriy Dligach
Timothy A. Miller
138
89
0
14 Aug 2019
Federated Learning for Wireless Communications: Motivation,
  Opportunities and Challenges
Federated Learning for Wireless Communications: Motivation, Opportunities and ChallengesIEEE Communications Magazine (IEEE Commun. Mag.), 2019
Solmaz Niknam
Harpreet S. Dhillon
J. H. Reed
358
668
0
30 Jul 2019
A Federated Learning Approach for Mobile Packet Classification
A Federated Learning Approach for Mobile Packet Classification
Evita Bakopoulou
Bálint Tillman
A. Markopoulou
137
31
0
30 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
418
1,239
0
23 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2019
Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
302
1,116
0
19 Jul 2019
Astraea: Self-balancing Federated Learning for Improving Classification
  Accuracy of Mobile Deep Learning Applications
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning ApplicationsICCD (ICCD), 2019
Moming Duan
Duo Liu
Xianzhang Chen
Yujuan Tan
Jinting Ren
Lei Qiao
Liang Liang
FedML
130
224
0
02 Jul 2019
Proof of Witness Presence: Blockchain Consensus for Augmented Democracy
  in Smart Cities
Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities
Evangelos Pournaras
312
74
0
30 Jun 2019
Deep Leakage from Gradients
Deep Leakage from GradientsNeural Information Processing Systems (NeurIPS), 2019
Ligeng Zhu
Zhijian Liu
Song Han
FedML
516
2,576
0
21 Jun 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard
Federated Learning for Emoji Prediction in a Mobile Keyboard
Swaroop Indra Ramaswamy
Rajiv Mathews
Kanishka Rao
Franccoise Beaufays
FedML
213
325
0
11 Jun 2019
Performance Analysis and Characterization of Training Deep Learning
  Models on Mobile Devices
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
Jie Liu
Jiawen Liu
Wan Du
Dong Li
HAI
137
5
0
10 Jun 2019
Federated AI lets a team imagine together: Federated Learning of GANs
Federated AI lets a team imagine together: Federated Learning of GANsInternational Journal of Computer Science and Engineering (IJCSE), 2019
R. A
N. V
FedML
97
7
0
09 Jun 2019
Distributed Training with Heterogeneous Data: Bridging Median- and
  Mean-Based Algorithms
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based AlgorithmsNeural Information Processing Systems (NeurIPS), 2019
Xiangyi Chen
Tiancong Chen
Haoran Sun
Zhiwei Steven Wu
Mingyi Hong
FedML
114
81
0
04 Jun 2019
Deep Learning Recommendation Model for Personalization and
  Recommendation Systems
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov
Dheevatsa Mudigere
Hao-Jun Michael Shi
Jianyu Huang
Narayanan Sundaraman
...
Wenlin Chen
Vijay Rao
Bill Jia
Liang Xiong
M. Smelyanskiy
234
831
0
31 May 2019
Fair Resource Allocation in Federated Learning
Fair Resource Allocation in Federated LearningInternational Conference on Learning Representations (ICLR), 2019
Tian Li
Maziar Sanjabi
Ahmad Beirami
Virginia Smith
FedML
431
900
0
25 May 2019
Self-supervised audio representation learning for mobile devices
Self-supervised audio representation learning for mobile devices
Marco Tagliasacchi
Beat Gfeller
Félix de Chaumont Quitry
Dominik Roblek
SSLAI4TS
133
47
0
24 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid
  Data
Decentralized Learning of Generative Adversarial Networks from Non-iid Data
Ryo Yonetani
Tomohiro Takahashi
Atsushi Hashimoto
Yoshitaka Ushiku
183
26
0
23 May 2019
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated
  Learning
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
Abhijit Guha Roy
Shayan Siddiqui
Sebastian Polsterl
Nassir Navab
Christian Wachinger
FedMLOODMedIm
143
341
0
16 May 2019
Client-Edge-Cloud Hierarchical Federated Learning
Client-Edge-Cloud Hierarchical Federated Learning
Lumin Liu
Jun Zhang
S. H. Song
Khaled B. Letaief
FedML
273
889
0
16 May 2019
Multi-Agent Image Classification via Reinforcement Learning
Multi-Agent Image Classification via Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Hossein K. Mousavi
M. Nazari
Martin Takáč
N. Motee
99
29
0
13 May 2019
Semi-Cyclic Stochastic Gradient Descent
Semi-Cyclic Stochastic Gradient Descent
Hubert Eichner
Tomer Koren
H. B. McMahan
Nathan Srebro
Kunal Talwar
195
113
0
23 Apr 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges,
  Techniques and Tools
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
R. Mayer
Hans-Arno Jacobsen
GNN
312
210
0
27 Mar 2019
Asynchronous Federated Optimization
Asynchronous Federated Optimization
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
296
667
0
10 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
240
1,540
0
07 Mar 2019
Federated Heavy Hitters Discovery with Differential Privacy
Federated Heavy Hitters Discovery with Differential Privacy
Wennan Zhu
Peter Kairouz
H. B. McMahan
Haicheng Sun
Wei Li
FedML
292
113
0
22 Feb 2019
Federated Learning via Over-the-Air Computation
Federated Learning via Over-the-Air Computation
Kai Yang
Tao Jiang
Yuanming Shi
Z. Ding
FedML
290
979
0
31 Dec 2018
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
869
6,579
0
14 Dec 2018
Wireless Data Acquisition for Edge Learning: Data-Importance Aware
  Retransmission
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission
Dongzhu Liu
Guangxu Zhu
Jun Zhang
Kaibin Huang
153
41
0
05 Dec 2018
Blockchain as a Service: A Decentralized and Secure Computing Paradigm
Blockchain as a Service: A Decentralized and Secure Computing ParadigmIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2018
G. Mendis
Yifu Wu
Jin Wei
Moein Sabounchi
Rigoberto Roche'
154
23
0
05 Jul 2018
How To Backdoor Federated Learning
How To Backdoor Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
493
2,236
0
02 Jul 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in
  Federated Learning
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICVFedML
653
40
0
15 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
346
1,408
0
12 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
217
434
0
22 Feb 2018
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