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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 / 390 papers shown
Title
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
44
2
0
16 May 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via
  Injection and Distillation for Medical Data Analysis
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie
Manqing Lin
Tianyu Luan
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
36
9
0
10 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
43
12
0
10 May 2024
FedStale: leveraging stale client updates in federated learning
FedStale: leveraging stale client updates in federated learning
Angelo Rodio
Giovanni Neglia
FedML
40
4
0
07 May 2024
RLHF from Heterogeneous Feedback via Personalization and Preference
  Aggregation
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation
Chanwoo Park
Mingyang Liu
Dingwen Kong
Kaiqing Zhang
Asuman Ozdaglar
39
28
0
30 Apr 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank,
  Task-Specific Adapter Clustering
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
FedML
28
3
0
23 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
32
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
51
1
0
19 Apr 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DD
FedML
59
4
0
02 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning
MAPL: Model Agnostic Peer-to-peer Learning
Sayak Mukherjee
Andrea Simonetto
Hadi Jamali Rad
39
0
0
28 Mar 2024
FedAC: An Adaptive Clustered Federated Learning Framework for
  Heterogeneous Data
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
Yuxin Zhang
Haoyu Chen
Zheng Lin
Zhe Chen
Jin Zhao
FedML
38
21
0
25 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
36
2
0
18 Mar 2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
Shuo Tang
Rui Ye
Chenxin Xu
Xiaowen Dong
Siheng Chen
Yanfeng Wang
44
0
0
11 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of
  Negative Federated Learning
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
32
0
0
07 Mar 2024
FedClust: Optimizing Federated Learning on Non-IID Data through
  Weight-Driven Client Clustering
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Md Sirajul Islam
Simin Javaherian
Fei Xu
Xu Yuan
Li Chen
Nianfeng Tzeng
FedML
19
8
0
07 Mar 2024
Rethinking Clustered Federated Learning in NOMA Enhanced Wireless
  Networks
Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks
Yushen Lin
Kaidi Wang
Zhiguo Ding
41
3
0
05 Mar 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
29
10
0
05 Mar 2024
Federated Learning over Connected Modes
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
45
0
0
05 Mar 2024
Towards Optimal Customized Architecture for Heterogeneous Federated
  Learning with Contrastive Cloud-Edge Model Decoupling
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
Xingyan Chen
Tian Du
Mu Wang
Tiancheng Gu
Yu Zhao
Gang Kou
Changqiao Xu
Dapeng Oliver Wu
39
2
0
04 Mar 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated
  Learning
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
38
19
0
29 Feb 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
60
2
0
29 Feb 2024
Bayesian Neural Network For Personalized Federated Learning Parameter
  Selection
Bayesian Neural Network For Personalized Federated Learning Parameter Selection
Mengen Luo
E. Kuruoglu
FedML
35
0
0
25 Feb 2024
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
Sujin Kook
Won-Yong Shin
Seong-Lyun Kim
Seung-Woo Ko
29
1
0
19 Feb 2024
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing
  Non-i.i.d. and Constraints in Federated Learning
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
Yousef Alsenani
Rahul Mishra
Khaled R. Ahmed
Atta Ur Rahman
FedML
33
1
0
14 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data
  via Federated Learning
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Rui Ye
Wenhao Wang
Jingyi Chai
Dihan Li
Zexi Li
Yinda Xu
Yaxin Du
Yanfeng Wang
Siheng Chen
ALM
FedML
AIFin
11
76
0
10 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language
  Models
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
Zhenqing Ling
Daoyuan Chen
Liuyi Yao
Yaliang Li
Ying Shen
FedML
47
12
0
08 Feb 2024
Personalized Federated Learning for Statistical Heterogeneity
Personalized Federated Learning for Statistical Heterogeneity
Muhammad Firdaus
Kyung-Hyune Rhee
FedML
12
1
0
07 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning
Spectral Co-Distillation for Personalized Federated Learning
Zihan Chen
Howard H. Yang
Tony Q. S. Quek
Kai Fong Ernest Chong
OOD
FedML
32
13
0
29 Jan 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
35
0
0
29 Jan 2024
Expert with Clustering: Hierarchical Online Preference Learning
  Framework
Expert with Clustering: Hierarchical Online Preference Learning Framework
Tianyue Zhou
Jung-Hoon Cho
B. R. Ardabili
Hamed Tabkhi
Cathy Wu
OffRL
23
2
0
26 Jan 2024
How to Collaborate: Towards Maximizing the Generalization Performance in
  Cross-Silo Federated Learning
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning
Yuchang Sun
Marios Kountouris
Jun Zhang
FedML
39
2
0
24 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
Shaoheng Fang
Rui Ye
Wenhao Wang
Zuhong Liu
Yuxiao Wang
Yafei Wang
Siheng Chen
Yanfeng Wang
46
1
0
23 Jan 2024
Empowering HWNs with Efficient Data Labeling: A Clustered Federated
  Semi-Supervised Learning Approach
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach
Moqbel Hamood
A. Albaseer
M. Abdallah
Ala I. Al-Fuqaha
33
0
0
19 Jan 2024
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs
S. M. I. M. Saeid HaghighiFard
Fellow Ieee Sinem Coleri
14
3
0
18 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed
  Data
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
Zikai Xiao
Zihan Chen
Liyinglan Liu
Yang Feng
Jian Wu
Wanlu Liu
Qiufeng Wang
Howard H. Yang
Zuo-Qiang Liu
FedML
39
6
0
17 Jan 2024
Learn What You Need in Personalized Federated Learning
Learn What You Need in Personalized Federated Learning
Kexin Lv
Rui Ye
Xiaolin Huang
Jie-jin Yang
Siheng Chen
FedML
32
0
0
16 Jan 2024
Replica Tree-based Federated Learning using Limited Data
Replica Tree-based Federated Learning using Limited Data
Ramona Ghilea
I. Rekik
27
0
0
28 Dec 2023
Personalized Federated Learning with Contextual Modulation and
  Meta-Learning
Personalized Federated Learning with Contextual Modulation and Meta-Learning
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Thorsteinn Rögnvaldsson
FedML
25
1
0
23 Dec 2023
Initializing Services in Interactive ML Systems for Diverse Users
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
21
5
0
19 Dec 2023
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on
  Non-IID Data
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
Youssra Cheriguene
Wael Jaafar
H. Yanikomeroglu
C. A. Kerrache
33
7
0
16 Dec 2023
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
Shunxin Guo
Hongsong Wang
Xin Geng
FedML
34
7
0
15 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation
Exploiting Label Skews in Federated Learning with Model Concatenation
Yiqun Diao
Yue Liu
Bingsheng He
FedML
22
16
0
11 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic
  Staleness-aware Model Update
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update
Ji Liu
Juncheng Jia
Tianshi Che
Chao Huo
Jiaxiang Ren
Yang Zhou
H. Dai
Dejing Dou
24
31
0
10 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with
  Heterogeneous Data
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Feifei Wang
Huiyun Tang
Yang Li
FedML
29
0
0
07 Dec 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in
  Feature-skew Federated Learning
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
Lingzhi Gao
Zexi Li
Yang Lu
Chao Wu
39
6
0
30 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for
  heterogeneous data
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Ye Lin Tun
Minh N. H. Nguyen
Chu Myaet Thwal
J. Choi
Choong Seon Hong
FedML
29
13
0
28 Nov 2023
A Joint Gradient and Loss Based Clustered Federated Learning Design
A Joint Gradient and Loss Based Clustered Federated Learning Design
Licheng Lin
Mingzhe Chen
Zhaohui Yang
Yusen Wu
Yuchen Liu
FedML
36
0
0
22 Nov 2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated
  Learning
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning
Xidong Wu
Wan-Yi Lin
Devin Willmott
Filipe Condessa
Yufei Huang
Zhenzhen Li
Madan Ravi Ganesh
FedML
44
4
0
14 Nov 2023
Adaptive Test-Time Personalization for Federated Learning
Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao
Tianxin Wei
Haohan Wang
Jingrui He
TTA
OOD
28
14
0
28 Oct 2023
Dynamically Weighted Federated k-Means
Dynamically Weighted Federated k-Means
Patrick Holzer
Tania Jacob
Shubham Kavane
FedML
22
1
0
23 Oct 2023
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