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Robust Convergence in Federated Learning through Label-wise Clustering

Robust Convergence in Federated Learning through Label-wise Clustering

28 December 2021
Hunmin Lee
Yueyang Liu
Donghyun Kim
Yingshu Li
    FedML
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Papers citing "Robust Convergence in Federated Learning through Label-wise Clustering"

12 / 12 papers shown
Title
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
55
645
0
20 May 2021
Clustering Algorithm to Detect Adversaries in Federated Learning
Clustering Algorithm to Detect Adversaries in Federated Learning
Krishna Yadav
Senior Member Ieee B.B Gupta
FedML
18
8
0
22 Feb 2021
Federated Learning with Heterogeneous Labels and Models for Mobile
  Activity Monitoring
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
Gautham Krishna Gudur
S. K. Perepu
FedML
29
43
0
04 Dec 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen
Wei-Lun Chao
FedML
50
260
0
04 Sep 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy
Martin Jaggi
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
73
217
0
08 Aug 2020
A Secure Federated Learning Framework for 5G Networks
A Secure Federated Learning Framework for 5G Networks
Yi Liu
Jia-Jie Peng
Jiawen Kang
Abdullah M. Iliyasu
Dusit Niyato
A. El-latif
FedML
37
196
0
12 May 2020
Overcoming Forgetting in Federated Learning on Non-IID Data
Overcoming Forgetting in Federated Learning on Non-IID Data
N. Shoham
Tomer Avidor
Aviv Keren
Nadav Tal-Israel
Daniel Benditkis
Liron Mor Yosef
Itai Zeitak
CLL
FedML
115
220
0
17 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
79
845
0
08 Oct 2019
Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
93
2,652
0
04 Feb 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
189
8,807
0
25 Aug 2017
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
269
4,620
0
18 Oct 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
68
2,855
0
19 Nov 2015
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