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An Efficient Framework for Clustered Federated Learning

An Efficient Framework for Clustered Federated Learning

7 June 2020
Avishek Ghosh
Jichan Chung
Dong Yin
K. Ramchandran
    FedML
ArXivPDFHTML

Papers citing "An Efficient Framework for Clustered Federated Learning"

50 / 91 papers shown
Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
31
0
0
05 May 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
Sarang S
Druva Dhakshinamoorthy
Aditya Shiva Sharma
Yuvraj Singh Bhadauria
Siddharth Chaitra Vivek
Arihant Bansal
Arnab K. Paul
FedML
31
0
0
26 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
Phung Lai
Guanxiong Liu
Hai Phan
Issa M. Khalil
Abdallah Khreishah
Xintao Wu
FedML
33
0
0
17 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
24
0
0
12 Apr 2025
FedMerge: Federated Personalization via Model Merging
FedMerge: Federated Personalization via Model Merging
Shutong Chen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
MoMe
47
0
0
09 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
Hengrui Hu
Anai N. Kothari
Anjishnu Banerjee
FedML
31
0
0
06 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
93
1
0
10 Mar 2025
One-Shot Clustering for Federated Learning
One-Shot Clustering for Federated Learning
Maciej Krzysztof Zuziak
Roberto Pellungrini
Salvatore Rinzivillo
FedML
84
0
0
06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning
Shahrzad Kiani
Franziska Boenisch
S. Draper
FedML
72
0
0
06 Mar 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante
Giovanni Neglia
Emilio Leonardi
FedML
85
1
0
20 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
42
0
0
31 Jan 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian
Ruijie Quan
Fan Ma
Kun Zhan
Yi Yang
29
1
0
24 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
85
7
0
17 Jan 2025
Federated Deep Subspace Clustering
Federated Deep Subspace Clustering
Yupei Zhang
Ruojia Feng
Yifei Wang
Xuequn Shang
FedML
80
0
0
17 Jan 2025
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
14
0
0
04 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
42
2
0
04 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
32
0
0
03 Oct 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based
  Clustering
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
20
0
0
16 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift
On the effects of similarity metrics in decentralized deep learning under distributional shift
Edvin Listo Zec
Tom Hagander
Eric Ihre-Thomason
Sarunas Girdzijauskas
FedML
34
0
0
16 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai
J. Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
73
0
0
09 Sep 2024
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
27
0
0
11 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with
  Heterogeneous Models
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
Wentao Gao
Omid Tavallaie
Shuaijun Chen
Albert Zomaya
FedML
25
3
0
30 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
45
1
0
25 Jul 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional
  Hazards Models
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
Navid Seidi
Satyaki Roy
Sajal Kumar Das
Ardhendu Shekhar Tripathy
20
2
0
20 Jul 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedML
OOD
60
2
0
25 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client
  Behaviour in Federated Learning
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
FedML
29
0
0
24 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Akash Dhasade
Anne-Marie Kermarrec
Tuan-Anh Nguyen
Rafael Pires
M. Vos
FedML
26
0
0
24 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Zexi Li
Lingzhi Gao
Chao Wu
AI4CE
DiffM
55
3
0
23 May 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
38
1
0
22 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
48
6
0
19 May 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with
  Decentralized Federated Learning
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
20
0
0
20 Apr 2024
Collaborative Visual Place Recognition through Federated Learning
Collaborative Visual Place Recognition through Federated Learning
Mattia Dutto
Gabriele Berton
Debora Caldarola
Eros Fani
Gabriele Trivigno
Carlo Masone
FedML
27
1
0
20 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
43
1
0
19 Apr 2024
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep
  Neural Networks
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks
Qiushi Li
Yan Zhang
Ju Ren
Qi Li
Yaoxue Zhang
AAML
PICV
31
22
0
05 Apr 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning
  Model Ownership Protection
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
Yang Xu
Yunlin Tan
Cheng Zhang
Kai Chi
Peng Sun
Wenyuan Yang
Ju Ren
Hongbo Jiang
Yaoxue Zhang
FedML
43
2
0
29 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Kaan Ozkara
Bruce Huang
Ruida Zhou
Suhas Diggavi
87
0
0
19 Feb 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices
  with On-Demand Staleness Control
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
Xiaocheng Li
Si-ren Liu
Zimu Zhou
Bin Guo
Yuan Xu
Zhiwen Yu
22
0
0
29 Jan 2024
Straggler-resilient Federated Learning: Tackling Computation
  Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Student Member Ieee Hongda Wu
F. I. C. V. Ping Wang
Aswartha Narayana
FedML
23
1
0
16 Nov 2023
Distributed Personalized Empirical Risk Minimization
Distributed Personalized Empirical Risk Minimization
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
19
4
0
26 Oct 2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance
  Theory
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
Naoki Masuyama
Yusuke Nojima
Y. Toda
C. K. Loo
H. Ishibuchi
N. Kubota
FedML
18
3
0
07 Sep 2023
Wireless Federated $k$-Means Clustering with Non-coherent Over-the-Air
  Computation
Wireless Federated kkk-Means Clustering with Non-coherent Over-the-Air Computation
Alphan Șahin
14
1
0
11 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
26
19
0
09 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K. R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
11
3
0
07 Aug 2023
You Can Backdoor Personalized Federated Learning
You Can Backdoor Personalized Federated Learning
Tiandi Ye
Cen Chen
Yinggui Wang
Xiang Li
Ming Gao
AAML
FedML
9
4
0
29 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
29
244
0
20 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
19
70
0
10 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
24
9
0
10 Jul 2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless
  Networks
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks
Marc Katzef
Andrew C. Cullen
T. Alpcan
C. Leckie
Justin Kopacz
13
0
0
23 Mar 2023
A Survey on Class Imbalance in Federated Learning
A Survey on Class Imbalance in Federated Learning
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
FedML
36
13
0
21 Mar 2023
Stochastic Clustered Federated Learning
Stochastic Clustered Federated Learning
Dun Zeng
Xiangjing Hu
Shiyu Liu
Yue Yu
Qifan Wang
Zenglin Xu
FedML
14
13
0
02 Mar 2023
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