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Federated Learning with Non-IID Data

Federated Learning with Non-IID Data

2 June 2018
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
    FedML
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Papers citing "Federated Learning with Non-IID Data"

9 / 409 papers shown
Title
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
24
1,331
0
07 Mar 2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
Chengjie Li
Ruixuan Li
Yining Qi
Yuhua Li
Pan Zhou
Song Guo
Keqin Li
27
15
0
21 Feb 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized
  Recommendation System
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din
E. Ivannikova
Suleiman A. Khan
Were Oyomno
Qiang Fu
K. E. Tan
Adrian Flanagan
FedML
31
269
0
29 Jan 2019
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
21
518
0
07 Dec 2018
Communication-Efficient On-Device Machine Learning: Federated
  Distillation and Augmentation under Non-IID Private Data
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
Eunjeong Jeong
Seungeun Oh
Hyesung Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
FedML
19
592
0
28 Nov 2018
Partitioned Variational Inference: A unified framework encompassing
  federated and continual learning
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
T. Bui
Cuong V Nguyen
S. Swaroop
Richard Turner
FedML
24
55
0
27 Nov 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data:
  A Feasibility Study on Brain Tumor Segmentation
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah J. Sheller
G. A. Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
FedML
18
457
0
10 Oct 2018
Client Selection for Federated Learning with Heterogeneous Resources in
  Mobile Edge
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Takayuki Nishio
Ryo Yonetani
FedML
22
1,372
0
23 Apr 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
34
388
0
22 Feb 2018
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