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Flexible Clustered Federated Learning for Client-Level Data Distribution
  Shift

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

22 August 2021
Moming Duan
Duo Liu
Xinyuan Ji
Yu Wu
Liang Liang
Xianzhang Chen
Yujuan Tan
    FedML
    OOD
ArXivPDFHTML

Papers citing "Flexible Clustered Federated Learning for Client-Level Data Distribution Shift"

16 / 16 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
43
0
0
05 May 2025
Privacy-Preserving Dataset Combination
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
43
0
0
09 Feb 2025
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Jong-Ik Park
Srinivasa Pranav
J. M. F. Moura
Carlee Joe-Wong
AI4CE
79
2
0
24 Oct 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
34
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
33
0
0
24 May 2024
On-Demand Model and Client Deployment in Federated Learning with Deep
  Reinforcement Learning
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning
M. Chahoud
Hani Sami
Azzam Mourad
Hadi Otrok
Jamal Bentahar
Mohsen Guizani
29
0
0
12 May 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
32
1
0
20 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
33
6
0
03 Apr 2024
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
29
70
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
25
0
0
23 Mar 2023
Stochastic Clustered Federated Learning
Stochastic Clustered Federated Learning
Dun Zeng
Xiangjing Hu
Shiyu Liu
Yue Yu
Qifan Wang
Zenglin Xu
FedML
25
13
0
02 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
Federated Learning under Distributed Concept Drift
Federated Learning under Distributed Concept Drift
Ellango Jothimurugesan
Kevin Hsieh
Jianyu Wang
Gauri Joshi
Phillip B. Gibbons
FedML
24
46
0
01 Jun 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
40
36
0
23 Mar 2022
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
101
950
0
03 Feb 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
1