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1902.01046
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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 / 1,046 papers shown
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data
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Jian Liang
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Kun Bai
Hao Li
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217
42
0
06 Sep 2020
Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing
Canadian Conference on Electrical and Computer Engineering (CCECE), 2020
Abdallah Moubayed
Tanveer Ahmed
A. Haque
Abdallah Shami
36
8
0
04 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
International Conference on Learning Representations (ICLR), 2020
Hong-You Chen
Wei-Lun Chao
FedML
344
312
0
04 Sep 2020
ESMFL: Efficient and Secure Models for Federated Learning
Sheng Lin
Chenghong Wang
Hongjia Li
Jieren Deng
Yanzhi Wang
Caiwen Ding
FedML
133
6
0
03 Sep 2020
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction
PLoS ONE (PLOS ONE), 2020
Moritz Knolle
Georgios Kaissis
F. Jungmann
Sebastian Ziegelmayer
D. Sasse
Marcus R. Makowski
Daniel Rueckert
R. Braren
MedIm
85
16
0
02 Sep 2020
Accelerating Federated Learning in Heterogeneous Data and Computational Environments
Dimitris Stripelis
J. Ambite
FedML
95
11
0
25 Aug 2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations
Mingkai Huang
Hao Li
Bing Bai
Chang Wang
Kun Bai
Haiwei Yang
FedML
170
37
0
25 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa
S. Çamtepe
134
262
0
24 Aug 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
Jiaxin Ma
Ryo Yonetani
Z. Iqbal
FedML
148
14
0
18 Aug 2020
How to Put Users in Control of their Data in Federated Top-N Recommendation with Learning to Rank
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Antonio Ferrara
Fedelucio Narducci
FedML
148
1
0
17 Aug 2020
A Survey on Large-scale Machine Learning
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Meng Wang
Weijie Fu
Xiangnan He
Shijie Hao
Xindong Wu
184
141
0
10 Aug 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy
Martin Jaggi
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
548
236
0
08 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Proceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
274
176
0
06 Aug 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
AI4TS
270
3
0
05 Aug 2020
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
Lei Yang
Yanyan Lu
Jiannong Cao
Jiaming Huang
Mingjin Zhang
148
23
0
04 Aug 2020
Efficient Sparse Secure Aggregation for Federated Learning
C. Béguier
M. Andreux
Eric W. Tramel
FedML
145
19
0
29 Jul 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He
M. Annavaram
A. Avestimehr
FedML
295
24
0
28 Jul 2020
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
650
1,107
0
28 Jul 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
Wentai Wu
Ligang He
Weiwei Lin
Rui Mao
185
96
0
28 Jul 2020
Ethics of Artificial Intelligence in Surgery
Frank Rudzicz
Raeid Saqur
SyDa
45
15
0
28 Jul 2020
Evaluation of Federated Learning in Phishing Email Detection
Italian National Conference on Sensors (INS), 2020
Chandra Thapa
Jun Tang
A. Abuadbba
Yansong Gao
S. Çamtepe
Surya Nepal
Mahathir Almashor
Yifeng Zheng
FedML
195
35
0
27 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Aaqib Saeed
Flora D. Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
234
117
0
25 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
751
91
0
22 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
352
185
0
22 Jul 2020
Byzantine-Resilient Secure Federated Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
326
300
0
21 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
318
267
0
21 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
Jed Mills
Jia Hu
Geyong Min
FedML
286
252
0
17 Jul 2020
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
216
30
0
17 Jul 2020
Prioritized Multi-Criteria Federated Learning
Intelligenza Artificiale (IA), 2020
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Antonio Ferrara
FedML
117
10
0
17 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems
European Symposium on Research in Computer Security (ESORICS), 2020
Vale Tolpegin
Stacey Truex
Mehmet Emre Gursoy
Ling Liu
FedML
293
829
0
16 Jul 2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Shashank Jere
Nan Cheng
Bodong Shang
Lianjun Li
Lingjia Liu
185
11
0
15 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
IEEE Transactions on Wireless Communications (TWC), 2020
Wenqi Shi
Sheng Zhou
Z. Niu
Miao Jiang
Lu Geng
153
336
0
14 Jul 2020
Privacy Amplification via Random Check-Ins
Neural Information Processing Systems (NeurIPS), 2020
Borja Balle
Peter Kairouz
H. B. McMahan
Om Thakkar
Abhradeep Thakurta
FedML
275
78
0
13 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Neural Information Processing Systems (NeurIPS), 2020
Hongyi Wang
Kartik K. Sreenivasan
Shashank Rajput
Harit Vishwakarma
Saurabh Agarwal
Jy-yong Sohn
Kangwook Lee
Dimitris Papailiopoulos
FedML
272
735
0
09 Jul 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia
Tony Q.S. Quek
Kun Guo
Wanli Wen
Howard H. Yang
Hongbo Zhu
FedML
292
261
0
05 Jul 2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Nuria Rodríguez Barroso
G. Stipcich
Daniel Jiménez-López
José Antonio Ruiz-Millán
Eugenio Martínez-Cámara
Gerardo González-Seco
M. V. Luzón
M. Veganzones
Francisco Herrera
245
115
0
02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
216
57
0
02 Jul 2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Yunfei Song
Tian Liu
Tongquan Wei
Xiangfeng Wang
Zhe Tao
Xiao He
159
57
0
28 Jun 2020
ByGARS: Byzantine SGD with Arbitrary Number of Attackers
Jayanth Reddy Regatti
Hao Chen
Abhishek Gupta
FedML
AAML
184
4
0
24 Jun 2020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
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Lie He
Martin Jaggi
FedML
OOD
419
174
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16 Jun 2020
Optimal Complexity in Decentralized Training
International Conference on Machine Learning (ICML), 2020
Yucheng Lu
Christopher De Sa
451
92
0
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The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Sixu Hu
Yuan N. Li
Xu Liu
Yue Liu
Zhaomin Wu
Bingsheng He
FedML
350
61
0
14 Jun 2020
Understanding Unintended Memorization in Federated Learning
Om Thakkar
Swaroop Indra Ramaswamy
Rajiv Mathews
Franccoise Beaufays
FedML
264
49
0
12 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
International Middleware Conference (Middleware), 2020
Georgios Damaskinos
R. Guerraoui
Anne-Marie Kermarrec
Vlad Nitu
Rhicheek Patra
Francois Taiani
236
58
0
12 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Neural Information Processing Systems (NeurIPS), 2020
Tao Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
579
1,314
0
12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
Chengxu Yang
Qipeng Wang
Mengwei Xu
Shangguang Wang
Kaigui Bian
Yunxin Liu
Xuanzhe Liu
173
24
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12 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
IEEE International Conference on Computer Vision (ICCV), 2020
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
237
54
0
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SECure: A Social and Environmental Certificate for AI Systems
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Camylle Lanteigne
Sara Kingsley
102
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Secure Byzantine-Robust Machine Learning
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Sai Praneeth Karimireddy
Martin Jaggi
OOD
221
66
0
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ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
T. Ryffel
Pierre Tholoniat
D. Pointcheval
Francis R. Bach
FedML
297
125
0
08 Jun 2020
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