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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
FedeRank: User Controlled Feedback with Federated Recommender Systems
European Conference on Information Retrieval (ECIR), 2020
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Antonio Ferrara
Fedelucio Narducci
FedML
256
46
0
15 Dec 2020
Personalized Federated Learning with First Order Model Optimization
International Conference on Learning Representations (ICLR), 2020
Michael Zhang
Karan Sapra
Sanja Fidler
Serena Yeung
J. Álvarez
FedML
328
377
0
15 Dec 2020
Cost-Effective Federated Learning Design
IEEE Conference on Computer Communications (INFOCOM), 2020
Bing Luo
Xiang Li
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
272
207
0
15 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
IEEE Access (IEEE Access), 2020
Georgios Th. Papadopoulos
M. Antona
C. Stephanidis
AI4CE
228
34
0
15 Dec 2020
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Engineering applications of artificial intelligence (EAAI), 2020
Alberto Blanco-Justicia
J. Domingo-Ferrer
Sergio Martínez
David Sánchez
Adrian Flanagan
K. E. Tan
FedML
143
134
0
12 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-Woo Lee
Jaehoon Oh
Yooju Shin
Jae-Gil Lee
Seyoul Yoon
FedML
195
18
0
09 Dec 2020
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Yi Liu
Ruihui Zhao
Jiawen Kang
A. Yassine
Dusit Niyato
Jia-Jie Peng
FedML
209
40
0
08 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses
Yi Liu
Lizhen Qu
Ruihui Zhao
Cong Wang
Dusit Niyato
Yefeng Zheng
199
7
0
08 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng
Cong Shen
Xiang Chen
226
175
0
07 Dec 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
Jin-Woo Lee
Jaehoon Oh
Sungsu Lim
Se-Young Yun
Jae-Gil Lee
FedML
284
40
0
06 Dec 2020
Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information
Peng Xiao
Samuel Cheng
FedML
241
1
0
06 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini
G. Ateniese
M. Bernaschi
FedML
615
196
0
04 Dec 2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
Gautham Krishna Gudur
S. K. Perepu
FedML
108
54
0
04 Dec 2020
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Proceedings of the VLDB Endowment (PVLDB), 2020
Nan Tang
Ju Fan
Fangyi Li
Jianhong Tu
Xiaoyong Du
Guoliang Li
Samuel Madden
M. Ouzzani
218
89
0
04 Dec 2020
FAT: Federated Adversarial Training
Giulio Zizzo
Ambrish Rawat
M. Sinn
Beat Buesser
FedML
170
52
0
03 Dec 2020
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
International Conference on Wireless Communications and Signal Processing (IC-WCSP), 2020
Yong Xiao
Yingyu Li
Guangming Shi
H. Vincent Poor
155
24
0
25 Nov 2020
FLaaS: Federated Learning as a Service
N. Kourtellis
Kleomenis Katevas
Diego Perino
FedML
139
67
0
18 Nov 2020
Practical Privacy Attacks on Vertical Federated Learning
Haiqin Weng
Juntao Zhang
Jiabo He
Feng Xue
Tao Wei
S. Ji
Zhiyuan Zong
FedML
176
9
0
18 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Ihab Mohammed
Shadha Tabatabai
Ala I. Al-Fuqaha
Faissal El Bouanani
Junaid Qadir
Basheer Qolomany
Mohsen Guizani
159
70
0
16 Nov 2020
Dynamic backdoor attacks against federated learning
Anbu Huang
AAML
FedML
106
22
0
15 Nov 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2020
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
230
37
0
13 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
N. Truong
Kai Sun
Siyao Wang
Florian Guitton
Wenhan Luo
FedML
308
10
0
10 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida
Jiahui Hou
H. Zang
Xin Liu
FedML
221
90
0
08 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Gautham Krishna Gudur
B. Balaji
S. K. Perepu
FedML
81
22
0
06 Nov 2020
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Dhruv Guliani
F. Beaufays
Giovanni Motta
FedML
195
87
0
29 Oct 2020
Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review
Information Fusion (Inf. Fusion), 2020
L. Erhan
M. Ndubuaku
M. Mauro
Wei Song
M. Chen
Giancarlo Fortino
O. Bagdasar
A. Liotta
168
289
0
27 Oct 2020
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
288
10
0
27 Oct 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiayi Wang
Maroun Touma
Rong-Rong Chen
Mingyue Ji
FedML
286
74
0
24 Oct 2020
Deep Neural Mobile Networking
Chaoyun Zhang
202
2
0
23 Oct 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2020
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
335
107
0
23 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Jinliang Yuan
Mengwei Xu
Xiao Ma
Ao Zhou
Xuanzhe Liu
Shangguang Wang
FedML
111
41
0
22 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings
Raed Abdel Sater
A. Ben Hamza
218
153
0
20 Oct 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
Concurrency and Computation (CCPE), 2020
Sheng Shen
Tianqing Zhu
Di Wu
Wei Wang
Wanlei Zhou
FedML
OOD
179
95
0
19 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Fan Mo
Anastasia Borovykh
Mohammad Malekzadeh
Hamed Haddadi
Soteris Demetriou
FedML
221
34
0
17 Oct 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
Moming Duan
Duo Liu
Xinyuan Ji
Renping Liu
Liang Liang
Xianzhang Chen
Yujuan Tan
FedML
459
100
0
14 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection
Fan Lai
Xiangfeng Zhu
H. Madhyastha
Mosharaf Chowdhury
FedML
OODD
476
312
0
12 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Bo Pan
Yue Cheng
Huzefa Rangwala
FedML
215
150
0
12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
International Conference on Learning Representations (ICLR), 2020
Maruan Al-Shedivat
Jennifer Gillenwater
Eric Xing
Afshin Rostamizadeh
FedML
332
125
0
11 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
International Conference on Learning Representations (ICLR), 2020
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
518
677
0
03 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
340
494
0
03 Oct 2020
EigenGame: PCA as a Nash Equilibrium
International Conference on Learning Representations (ICLR), 2020
I. Gemp
Brian McWilliams
Claire Vernade
T. Graepel
350
54
0
01 Oct 2020
Optimal Task Assignment to Heterogeneous Federated Learning Devices
L. Pilla
FedML
123
32
0
01 Oct 2020
Sense and Learn: Self-Supervision for Omnipresent Sensors
Aaqib Saeed
Victor Ungureanu
Beat Gfeller
OOD
SSL
137
44
0
28 Sep 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
IEEE Open Journal of the Communications Society (OJ-COMSOC), 2020
Mohamed-Amine Lahmeri
Mustafa A. Kishk
Mohamed-Slim Alouini
272
121
0
24 Sep 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
S. Kadhe
Nived Rajaraman
O. O. Koyluoglu
Kannan Ramchandran
FedML
261
186
0
23 Sep 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
IEEE Transactions on Wireless Communications (TWC), 2020
T. Le
N. H. Tran
Y. Tun
Minh N. H. Nguyen
Shashi Raj Pandey
Zhu Han
Choong Seon Hong
FedML
189
177
0
22 Sep 2020
Training Production Language Models without Memorizing User Data
Swaroop Indra Ramaswamy
Om Thakkar
Rajiv Mathews
Galen Andrew
H. B. McMahan
Franccoise Beaufays
FedML
267
95
0
21 Sep 2020
Federated Dynamic GNN with Secure Aggregation
Meng Jiang
Taeho Jung
Ryan Karl
Tong Zhao
FedML
189
34
0
15 Sep 2020
SAPAG: A Self-Adaptive Privacy Attack From Gradients
Yijue Wang
Jieren Deng
Danyi Guo
Chenghong Wang
Xianrui Meng
Hang Liu
Caiwen Ding
Sanguthevar Rajasekaran
129
39
0
14 Sep 2020
FLaPS: Federated Learning and Privately Scaling
IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), 2020
Sudipta Paul
Poushali Sengupta
Subhankar Mishra
FedML
128
5
0
13 Sep 2020
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