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Equitable Federated Learning with Activation Clustering

Equitable Federated Learning with Activation Clustering

24 October 2024
Antesh Upadhyay
Abolfazl Hashemi
    FedML
ArXivPDFHTML

Papers citing "Equitable Federated Learning with Activation Clustering"

12 / 12 papers shown
Title
Efficient Distribution Similarity Identification in Clustered Federated
  Learning via Principal Angles Between Client Data Subspaces
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Saeed Vahidian
Mahdi Morafah
Weijia Wang
Vyacheslav Kungurtsev
Chong Chen
M. Shah
Bill Lin
FedML
84
49
0
21 Sep 2022
FairFed: Enabling Group Fairness in Federated Learning
FairFed: Enabling Group Fairness in Federated Learning
Yahya H. Ezzeldin
Shen Yan
Chaoyang He
Emilio Ferrara
A. Avestimehr
FedML
68
206
0
02 Oct 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Dinesh Manocha
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
52
251
0
19 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated
  Learning
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
Xubo Yue
Maher Nouiehed
Raed Al Kontar
FedML
62
37
0
05 Aug 2021
Clustered Sampling: Low-Variance and Improved Representativity for
  Clients Selection in Federated Learning
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni
Richard Vidal
Laetitia Kameni
Marco Lorenzi
FedML
55
193
0
12 May 2021
Client Selection in Federated Learning: Convergence Analysis and
  Power-of-Choice Selection Strategies
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
131
407
0
03 Oct 2020
Collaborative Fairness in Federated Learning
Collaborative Fairness in Federated Learning
Lingjuan Lyu
Xinyi Xu
Qian Wang
FedML
68
192
0
27 Aug 2020
Active Federated Learning
Active Federated Learning
Jack Goetz
Kshitiz Malik
D. Bui
Seungwhan Moon
Honglei Liu
Anuj Kumar
FedML
34
137
0
27 Sep 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
124
932
0
01 Feb 2019
LEAF: A Benchmark for Federated Settings
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
134
1,419
0
03 Dec 2018
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
273
10,522
0
01 Nov 2007
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