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1908.07873
Cited By
Federated Learning: Challenges, Methods, and Future Directions
IEEE Signal Processing Magazine (IEEE SPM), 2019
21 August 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
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Papers citing
"Federated Learning: Challenges, Methods, and Future Directions"
50 / 1,676 papers shown
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
What is Wrong with Continual Learning in Medical Image Segmentation?
Camila González
Nick Lemke
G. Sakas
Anirban Mukhopadhyay
CLL
257
35
0
21 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings
Raed Abdel Sater
A. Ben Hamza
223
155
0
20 Oct 2020
Federated Bayesian Optimization via Thompson Sampling
Neural Information Processing Systems (NeurIPS), 2020
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
446
132
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
185
96
0
19 Oct 2020
Secure and Fault Tolerant Decentralized Learning
Saurav Prakash
H. Hashemi
Yongqin Wang
M. Annavaram
Salman Avestimehr
FedML
342
11
0
15 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
476
100
0
14 Oct 2020
Direct Federated Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
FedML
211
20
0
13 Oct 2020
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
Anwaar Ulhaq
O. Burmeister
FedML
187
22
0
13 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
226
151
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
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis
Italian National Conference on Sensors (INS), 2020
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
288
103
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
519
678
0
03 Oct 2020
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
AAAI Conference on Artificial Intelligence (AAAI), 2020
Kate Donahue
Jon M. Kleinberg
FedML
275
93
0
02 Oct 2020
Over-the-Air Federated Learning from Heterogeneous Data
IEEE Transactions on Signal Processing (TSP), 2020
Tomer Sery
Stefano Rini
Kobi Cohen
Yonina C. Eldar
FedML
365
215
0
27 Sep 2020
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
Cheng Chen
Ziyi Chen
Yi Zhou
B. Kailkhura
FedML
192
66
0
22 Sep 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedML
MedIm
297
210
0
21 Sep 2020
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities
International Conference on Machine Learning and Applications (ICMLA), 2020
Javad Mohammadi
J. Thornburg
176
6
0
21 Sep 2020
Sparse Communication for Training Deep Networks
Negar Foroutan
Martin Jaggi
FedML
136
19
0
19 Sep 2020
Private Reinforcement Learning with PAC and Regret Guarantees
International Conference on Machine Learning (ICML), 2020
G. Vietri
Borja Balle
A. Krishnamurthy
Zhiwei Steven Wu
192
68
0
18 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
Information Sciences (Inf. Sci.), 2020
Jie Peng
Zhaoxian Wu
Qing Ling
Tianyi Chen
OOD
FedML
221
28
0
17 Sep 2020
Distilled One-Shot Federated Learning
Yanlin Zhou
George Pu
Xiyao Ma
Xiaolin Li
D. Wu
FedML
DD
401
176
0
17 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
Qianqian Tong
Guannan Liang
J. Bi
FedML
269
28
0
14 Sep 2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Global Communications Conference (GLOBECOM), 2020
Basheer Qolomany
Kashif Ahmad
Ala I. Al-Fuqaha
Junaid Qadir
212
70
0
05 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
87
16
0
02 Sep 2020
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Future generations computer systems (FGCS), 2020
N. Deepa
Quoc-Viet Pham
Dinh C. Nguyen
S. Bhattacharya
B. Prabadevi
Thippa Reddy Gadekallu
Praveen Kumar Reddy Maddikunta
Fang Fang
P. Pathirana
AI4CE
238
457
0
02 Sep 2020
Wireless for Machine Learning
Henrik Hellström
J. M. B. D. Silva
Mohammad Mohammadi Amiri
Mingzhe Chen
Viktoria Fodor
H. Vincent Poor
Carlo Fischione
341
18
0
31 Aug 2020
Collaborative Fairness in Federated Learning
Lingjuan Lyu
Xinyi Xu
Qian Wang
FedML
170
213
0
27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
219
0
0
26 Aug 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
ACM Multimedia (ACM MM), 2020
Weiming Zhuang
Yonggang Wen
Xuesen Zhang
Xin Gan
Daiying Yin
Dongzhan Zhou
Shuai Zhang
Shuai Yi
FedML
236
115
0
26 Aug 2020
Accelerating Federated Learning in Heterogeneous Data and Computational Environments
Dimitris Stripelis
J. Ambite
FedML
95
11
0
25 Aug 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO
IEEE Transactions on Wireless Communications (TWC), 2020
Ahmet M. Elbir
Sinem Coleri
226
155
0
25 Aug 2020
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design
Kartikeya Bhardwaj
Wei Chen
R. Marculescu
GNN
109
8
0
25 Aug 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data
Yousef Yeganeh
Azade Farshad
Nassir Navab
Shadi Albarqouni
OOD
148
100
0
17 Aug 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets
M. Andreux
Jean Ogier du Terrail
C. Béguier
Eric W. Tramel
FedML
OOD
AI4CE
194
130
0
17 Aug 2020
FLBench: A Benchmark Suite for Federated Learning
Yuan Liang
Yange Guo
Yanxia Gong
Chunjie Luo
Jianfeng Zhan
Yunyou Huang
FedML
309
11
0
17 Aug 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning
IEEE Access (IEEE Access), 2020
Weituo Hao
Nikhil Mehta
Kevin J. Liang
Pengyu Cheng
Mostafa El-Khamy
Lawrence Carin
FedML
174
15
0
13 Aug 2020
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching
Farzin Haddadpour
Belhal Karimi
Ping Li
Xiaoyun Li
FedML
152
37
0
11 Aug 2020
Federated Learning via Synthetic Data
Jack Goetz
Ambuj Tewari
FedML
DD
131
82
0
11 Aug 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
Ang Li
Jingwei Sun
Binghui Wang
Lin Duan
Sicheng Li
Yiran Chen
Xue Yang
FedML
196
147
0
07 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
275
176
0
06 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
233
16
0
06 Aug 2020
Federated Visualization: A Privacy-preserving Strategy for Aggregated Visual Query
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Wei Chen
Yating Wei
Zhiyong Wang
Shuyue Zhou
Bingru Lin
Zhiguang Zhou
FedML
148
4
0
30 Jul 2020
Efficient Sparse Secure Aggregation for Federated Learning
C. Béguier
M. Andreux
Eric W. Tramel
FedML
147
19
0
29 Jul 2020
Fast-Convergent Federated Learning
IEEE Journal on Selected Areas in Communications (JSAC), 2020
Hung T. Nguyen
Vikash Sehwag
Seyyedali Hosseinalipour
Christopher G. Brinton
M. Chiang
H. Vincent Poor
FedML
228
237
0
26 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
118
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
764
92
0
22 Jul 2020
Byzantine-Resilient Secure Federated Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
328
301
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
290
253
0
17 Jul 2020
Learn distributed GAN with Temporary Discriminators
European Conference on Computer Vision (ECCV), 2020
Hui Qu
Yikai Zhang
Qi Chang
Zhennan Yan
Chao Chen
Dimitris N. Metaxas
FedML
200
21
0
17 Jul 2020
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