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Federated learning with hierarchical clustering of local updates to
  improve training on non-IID data

Federated learning with hierarchical clustering of local updates to improve training on non-IID data

24 April 2020
Christopher Briggs
Zhong Fan
Péter András
    FedML
ArXivPDFHTML

Papers citing "Federated learning with hierarchical clustering of local updates to improve training on non-IID data"

18 / 68 papers shown
Title
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
26
76
0
26 Nov 2021
Federated Learning for Open Banking
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
29
275
0
24 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless
  Networks
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
Chenyuan Feng
H. Yang
Deshun Hu
Zhiwei Zhao
Tony Q. S. Quek
Geyong Min
28
74
0
20 Aug 2021
Personalized Federated Learning with Clustering: Non-IID Heart Rate
  Variability Data Application
Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application
Joo Hun Yoo
Ha Min Son
Hyejun Jeong
E. Jang
A. Kim
H. Yu
Hong Jin Jeon
Tai-Myung Chung
FedML
OOD
17
31
0
04 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism
  with Convergence Guarantee
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che
Xiaoli Li
Chuan Chen
Xiaoyu He
Zibin Zheng
FedML
26
72
0
01 Aug 2021
Communication Efficiency in Federated Learning: Achievements and
  Challenges
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid
Seyedamin Pouriyeh
R. Parizi
Quan Z. Sheng
Gautam Srivastava
Liang Zhao
FedML
24
74
0
23 Jul 2021
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated
  Learning
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Shaashwat Agrawal
Sagnik Sarkar
M. Alazab
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
Viet Quoc Pham
FedML
19
51
0
15 Jul 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
181
411
0
14 Jul 2021
Federated Learning for Short-term Residential Load Forecasting
Federated Learning for Short-term Residential Load Forecasting
Christopher Briggs
Zhong Fan
Péter András
9
51
0
27 May 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
44
243
0
29 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric
  Collaboration for Pervasive Computing Applications
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
13
25
0
24 Mar 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing
  System
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu
Weizhe Zhang
Qiong Li
Xiaoxiong Zhong
A. Vasilakos
FedML
15
10
0
12 Mar 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
34
76
0
25 Feb 2021
FLaaS: Federated Learning as a Service
FLaaS: Federated Learning as a Service
N. Kourtellis
Kleomenis Katevas
Diego Perino
FedML
11
60
0
18 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in
  Recurrent Neural Networks
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks
Ali Abedi
Shehroz S. Khan
FedML
31
53
0
06 Nov 2020
A Review of Privacy-preserving Federated Learning for the
  Internet-of-Things
A Review of Privacy-preserving Federated Learning for the Internet-of-Things
Christopher Briggs
Zhong Fan
Péter András
16
14
0
24 Apr 2020
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
6
555
0
01 Oct 2019
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