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2006.04088
Cited By
An Efficient Framework for Clustered Federated Learning
7 June 2020
Avishek Ghosh
Jichan Chung
Dong Yin
K. Ramchandran
FedML
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Papers citing
"An Efficient Framework for Clustered Federated Learning"
50 / 91 papers shown
Title
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
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
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
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
24
0
0
12 Apr 2025
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
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
Siyuan Mu
Sen Lin
MoE
93
1
0
10 Mar 2025
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
Franco Galante
Giovanni Neglia
Emilio Leonardi
FedML
85
1
0
20 Feb 2025
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
Zhibo Tian
Ruijie Quan
Fan Ma
Kun Zhan
Yi Yang
29
1
0
24 Jan 2025
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
Yupei Zhang
Ruojia Feng
Yifei Wang
Xuequn Shang
FedML
80
0
0
17 Jan 2025
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
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
42
2
0
04 Oct 2024
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
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
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
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
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
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
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
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
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
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
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
Zexi Li
Lingzhi Gao
Chao Wu
AI4CE
DiffM
55
3
0
23 May 2024
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
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
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
20
0
0
20 Apr 2024
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
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
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
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
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
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
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
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
19
4
0
26 Oct 2023
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
k
k
-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
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
R. Bhope
K. R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
11
3
0
07 Aug 2023
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
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
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
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
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
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
FedML
36
13
0
21 Mar 2023
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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