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Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

4 October 2019
Felix Sattler
K. Müller
Wojciech Samek
    FedML
ArXivPDFHTML

Papers citing "Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints"

50 / 389 papers shown
Title
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
39
13
0
21 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for
  thin clients
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients
Manas Wadhwa
Gagan Raj Gupta
Ashutosh Sahu
Rahul Saini
Vidhi Mittal
FedML
17
6
0
19 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and
  Client Dropout
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout
Jian Xu
Mei Yang
Wenbo Ding
Shao-Lun Huang
FedML
14
3
0
11 Mar 2023
Zone-based Federated Learning for Mobile Sensing Data
Zone-based Federated Learning for Mobile Sensing Data
Xiaopeng Jiang
Thinh On
Nhathai Phan
Hessamaldin Mohammadi
Vijaya Datta Mayyuri
An M. Chen
Ruoming Jin
Cristian Borcea
FedML
24
6
0
10 Mar 2023
Federated Learning via Variational Bayesian Inference: Personalization,
  Sparsity and Clustering
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
Xu Zhang
Wenpeng Li
Yunfeng Shao
Yinchuan Li
FedML
19
4
0
08 Mar 2023
Stochastic Clustered Federated Learning
Stochastic Clustered Federated Learning
Dun Zeng
Xiangjing Hu
Shiyu Liu
Yue Yu
Qifan Wang
Zenglin Xu
FedML
20
13
0
02 Mar 2023
Advancements in Federated Learning: Models, Methods, and Privacy
Advancements in Federated Learning: Models, Methods, and Privacy
Hui Chen
Huandong Wang
Qingyue Long
Depeng Jin
Yong Li
FedML
36
14
0
22 Feb 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
78
47
0
21 Feb 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with
  Clustered Aggregation and Knowledge DIStilled Regularization
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
Nang Hung Nguyen
Duc Long Nguyen
Trong Bang Nguyen
T. Nguyen
H. Pham
Truong Thao Nguyen
Phi Le Nguyen
FedML
26
8
0
21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
FederatedTrust: A Solution for Trustworthy Federated Learning
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
28
21
0
20 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with
  Generalization Guarantees
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Chulin Xie
De-An Huang
Wen-Hsuan Chu
Daguang Xu
Chaowei Xiao
Bo-wen Li
Anima Anandkumar
FedML
8
10
0
13 Feb 2023
Federated Temporal Difference Learning with Linear Function
  Approximation under Environmental Heterogeneity
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
Han Wang
A. Mitra
Hamed Hassani
George J. Pappas
James Anderson
FedML
24
21
0
04 Feb 2023
Efficient Node Selection in Private Personalized Decentralized Learning
Efficient Node Selection in Private Personalized Decentralized Learning
Edvin Listo Zec
Johan Ostman
Olof Mogren
D. Gillblad
19
1
0
30 Jan 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated
  Learning by Robust Clustering
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
Yongxin Guo
Xiaoying Tang
Tao R. Lin
OOD
FedML
30
8
0
29 Jan 2023
FedPH: Privacy-enhanced Heterogeneous Federated Learning
FedPH: Privacy-enhanced Heterogeneous Federated Learning
Hangdong Kuang
Mi Bo
FedML
11
0
0
27 Jan 2023
Federated Learning under Heterogeneous and Correlated Client
  Availability
Federated Learning under Heterogeneous and Correlated Client Availability
Angelo Rodio
Francescomaria Faticanti
Othmane Marfoq
Giovanni Neglia
Emilio Leonardi
FedML
11
27
0
11 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey
Recent Advances on Federated Learning: A Systematic Survey
Bingyan Liu
Nuoyan Lv
Yuanchun Guo
Yawen Li
FedML
60
78
0
03 Jan 2023
Differentially Private Federated Clustering over Non-IID Data
Differentially Private Federated Clustering over Non-IID Data
Yiwei Li
Shuai Wang
Chong-Yung Chi
Tony Q. S. Quek
FedML
22
12
0
03 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Quyang Pan
Xue Jiang
Bo Gao
35
31
0
01 Jan 2023
Deep Unfolding-based Weighted Averaging for Federated Learning in
  Heterogeneous Environments
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments
Ayano Nakai-Kasai
T. Wadayama
FedML
14
0
0
23 Dec 2022
Collaborating Heterogeneous Natural Language Processing Tasks via
  Federated Learning
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
Chenhe Dong
Yuexiang Xie
Bolin Ding
Ying Shen
Yaliang Li
FedML
19
5
0
12 Dec 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of
  Byzantine Colluders
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
Hanlin Gu
Lixin Fan
Xingxing Tang
Qiang Yang
AAML
FedML
20
1
0
24 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data
Shaoming Duan
Chuanyi Liu
Peiyi Han
Tianyu He
Yifeng Xu
Qiyuan Deng
FedML
25
3
0
22 Nov 2022
Personalized Federated Learning for Multi-task Fault Diagnosis of
  Rotating Machinery
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Sheng Guo
Zengxian Li
Hui Liu
Shubao Zhao
C. Jin
FedML
AI4CE
14
6
0
17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Personalized Federated Learning with Multi-branch Architecture
Personalized Federated Learning with Multi-branch Architecture
Junki Mori
T. Yoshiyama
Ryo Furukawa
Isamu Teranishi
FedML
19
2
0
15 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously
  Correlate User Heterogeneity
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
Mingjie Wang
Jianxiong Guo
Weijia Jia
21
6
0
14 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning
  In A Distributed System
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Yue Yang
Jingwei Sun
Ang Li
H. Li
Yiran Chen
OOD
31
0
0
11 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Xue Yu
Ziyi Liu
Wu Wang
Yifan Sun
FedML
32
7
0
08 Nov 2022
Federated Multilingual Models for Medical Transcript Analysis
Federated Multilingual Models for Medical Transcript Analysis
Andre Manoel
Mirian Hipolito Garcia
Tal Baumel
Shize Su
Jialei Chen
Dan Miller
D. Karmon
Robert Sim
Dimitrios Dimitriadis
20
13
0
04 Nov 2022
Try to Avoid Attacks: A Federated Data Sanitization Defense for
  Healthcare IoMT Systems
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems
Chong Chen
Ying Gao
Leyu Shi
Siquan Huang
AAML
32
0
0
03 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer Personalization
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
32
59
0
03 Nov 2022
ModularFed: Leveraging Modularity in Federated Learning Frameworks
ModularFed: Leveraging Modularity in Federated Learning Frameworks
Mohamad Arafeh
Hadi Otrok
Hakima Ould-Slimane
Azzam Mourad
C. Talhi
Ernesto Damiani
22
19
0
31 Oct 2022
Auxo: Efficient Federated Learning via Scalable Client Clustering
Auxo: Efficient Federated Learning via Scalable Client Clustering
Jiachen Liu
Fan Lai
Yinwei Dai
Aditya Akella
H. Madhyastha
Mosharaf Chowdhury
42
10
0
29 Oct 2022
Machine Unlearning of Federated Clusters
Machine Unlearning of Federated Clusters
Chao Pan
Jin Sima
Saurav Prakash
Vishal Rana
O. Milenkovic
FedML
MU
31
25
0
28 Oct 2022
Federated Learning with Intermediate Representation Regularization
Federated Learning with Intermediate Representation Regularization
Ye Lin Tun
Chu Myaet Thwal
Yu Min Park
Seong-Bae Park
C. Hong
FedML
18
6
0
28 Oct 2022
Prototype-Based Layered Federated Cross-Modal Hashing
Prototype-Based Layered Federated Cross-Modal Hashing
Jiale Liu
Yu-Wei Zhan
Xin Luo
Zhen-Duo Chen
Yongxin Wang
Xin-Shun Xu
FedML
22
2
0
27 Oct 2022
Personalized Federated Learning via Heterogeneous Modular Networks
Personalized Federated Learning via Heterogeneous Modular Networks
Tianchun Wan
Wei Cheng
Dongsheng Luo
Wenchao Yu
Jingchao Ni
Liang Tong
Haifeng Chen
Xiang Zhang
24
10
0
26 Oct 2022
An Improved Algorithm for Clustered Federated Learning
An Improved Algorithm for Clustered Federated Learning
Harsh Vardhan
A. Ghosh
A. Mazumdar
FedML
26
8
0
20 Oct 2022
Find Your Friends: Personalized Federated Learning with the Right
  Collaborators
Find Your Friends: Personalized Federated Learning with the Right Collaborators
Yi Sui
Junfeng Wen
Yenson Lau
Brendan Leigh Ross
Jesse C. Cresswell
FedML
25
10
0
12 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain
  Adaptation in Clustered Federated Learning
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
23
39
0
05 Oct 2022
Decentralized Hyper-Gradient Computation over Time-Varying Directed
  Networks
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita
Satoshi Hara
FedML
24
1
0
05 Oct 2022
Group Personalized Federated Learning
Group Personalized Federated Learning
Zhe Liu
Yue Hui
Fuchun Peng
FedML
26
2
0
04 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New
  Notion and Standard Benchmarks
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Mahdi Morafah
Saeed Vahidian
C. L. P. Chen
M. Shah
Bill Lin
FedML
54
47
0
30 Sep 2022
A One-shot Framework for Distributed Clustered Learning in Heterogeneous
  Environments
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments
Aleksandar Armacki
Dragana Bajović
D. Jakovetić
S. Kar
FedML
36
5
0
22 Sep 2022
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
C. L. P. Chen
M. Shah
Bill Lin
FedML
44
45
0
21 Sep 2022
Characterizing Internal Evasion Attacks in Federated Learning
Characterizing Internal Evasion Attacks in Federated Learning
Taejin Kim
Shubhranshu Singh
Nikhil Madaan
Carlee Joe-Wong
FedML
26
9
0
17 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning
FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong
Hao He
Zhaolin Ren
Na Li
Quanzheng Li
OOD
AI4CE
29
9
0
08 Sep 2022
Modular Federated Learning
Modular Federated Learning
Kuo-Yun Liang
A. Srinivasan
J. C. Andresen
FedML
24
7
0
07 Sep 2022
Faster federated optimization under second-order similarity
Faster federated optimization under second-order similarity
Ahmed Khaled
Chi Jin
FedML
48
17
0
06 Sep 2022
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