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Cited By
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
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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
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
43
0
0
05 May 2025
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
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
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
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
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
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
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
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
Marc Katzef
Andrew C. Cullen
T. Alpcan
C. Leckie
Justin Kopacz
25
0
0
23 Mar 2023
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
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
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
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
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
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
1