Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Federated Learning: Challenges, Methods, and Future Directions"
26 / 1,676 papers shown
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
305
1,039
0
08 Oct 2019
Open Set Medical Diagnosis
Viraj Prabhu
A. Kannan
Geoffrey Tso
Namit Katariya
Manish Chablani
David Sontag
X. Amatriain
153
9
0
07 Oct 2019
Soft-Label Dataset Distillation and Text Dataset Distillation
IEEE International Joint Conference on Neural Network (IJCNN), 2019
Ilia Sucholutsky
Matthias Schonlau
DD
418
149
0
06 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Felix Sattler
K. Müller
Wojciech Samek
FedML
460
1,242
0
04 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
713
868
0
28 Sep 2019
Active Federated Learning
Jack Goetz
Kshitiz Malik
D. Bui
Seungwhan Moon
Honglei Liu
Anuj Kumar
FedML
168
156
0
27 Sep 2019
Federated User Representation Learning
D. Bui
Kshitiz Malik
Jack Goetz
Honglei Liu
Seungwhan Moon
Anuj Kumar
Kang G. Shin
FedML
184
71
0
27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
314
662
0
27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Yuang Jiang
Maroun Touma
Victor Valls
Bongjun Ko
Yan Koyfman
Kin K. Leung
Leandros Tassiulas
506
568
0
26 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2019
Renjie Gu
Chaoyue Niu
Fan Wu
Guihai Chen
Chun Hu
Chengfei Lyu
Zhihua Wu
239
29
0
18 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
IEEE Transactions on Wireless Communications (TWC), 2019
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
398
1,332
0
17 Sep 2019
Differentially Private Meta-Learning
International Conference on Learning Representations (ICLR), 2019
Jeffrey Li
M. Khodak
S. Caldas
Ameet Talwalkar
FedML
245
122
0
12 Sep 2019
Gradient Descent with Compressed Iterates
Ahmed Khaled
Peter Richtárik
167
26
0
10 Sep 2019
Machine Learning at the Network Edge: A Survey
ACM Computing Surveys (ACM CSUR), 2019
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
643
461
0
31 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
IEEE 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
495
1,255
0
23 Jul 2019
On the Convergence of FedAvg on Non-IID Data
International Conference on Learning Representations (ICLR), 2019
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
FedML
608
2,745
0
04 Jul 2019
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Yang Zhao
Jun Zhao
Linshan Jiang
Rui Tan
Dusit Niyato
Zengxiang Li
Lingjuan Lyu
Yingbo Liu
266
111
0
26 Jun 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
IEEE Access (IEEE Access), 2019
Quoc-Viet Pham
Fang Fang
H. Vu
Md. Jalil Piran
Mai Le
L. Le
Won Joo Hwang
Z. Ding
240
653
0
20 Jun 2019
Fair Resource Allocation in Federated Learning
International Conference on Learning Representations (ICLR), 2019
Tian Li
Maziar Sanjabi
Ahmad Beirami
Virginia Smith
FedML
467
913
0
25 May 2019
Private Hierarchical Clustering and Efficient Approximation
Xianrui Meng
D. Papadopoulos
Alina Oprea
Nikos Triandopoulos
FedML
149
0
0
09 Apr 2019
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
957
6,676
0
14 Dec 2018
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
269
554
0
07 Dec 2018
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
512
1,620
0
03 Dec 2018
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
R. SantiagoS.Silva
B. Gutman
E. Romero
P. Thompson
Andre Altmann
Marco Lorenzi
FedML
324
194
0
19 Oct 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta
Gauri Joshi
Soumyadip Ghosh
Parijat Dube
P. Nagpurkar
338
208
0
03 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
245
437
0
22 Feb 2018
Previous
1
2
3
...
32
33
34
