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FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated
  Learning

FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning

14 October 2022
Rui Ye
Zhenyang Ni
Chenxin Xu
Jianyu Wang
Siheng Chen
Yonina C. Eldar
    FedML
ArXivPDFHTML

Papers citing "FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning"

50 / 51 papers shown
Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
159
0
0
29 Apr 2025
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
80
6
0
19 May 2024
FedCP: Separating Feature Information for Personalized Federated
  Learning via Conditional Policy
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
54
56
0
01 Jul 2023
Personalized Federated Learning with Feature Alignment and Classifier
  Collaboration
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Jian Xu
Xin-Yi Tong
Shao-Lun Huang
FedML
41
101
0
20 Jun 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
Rui Ye
Mingkai Xu
Jianyu Wang
Chenxin Xu
Siheng Chen
Yanfeng Wang
FedML
57
64
0
30 May 2023
Revisiting Weighted Aggregation in Federated Learning with Neural
  Networks
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li
Tao R. Lin
Xinyi Shang
Chao-Xiang Wu
FedML
78
60
0
14 Feb 2023
FedFA: Federated Learning with Feature Anchors to Align Features and
  Classifiers for Heterogeneous Data
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data
Tailin Zhou
Jun Zhang
Danny H. K. Tsang
FedML
45
57
0
17 Nov 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning
  Approach
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan
Guodong Long
Jie Ma
Lu Liu
Tianyi Zhou
Jing Jiang
FedML
73
173
0
21 Sep 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for
  Non-IID Federated Learning
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Lin Zhang
Li Shen
Liang Ding
Dacheng Tao
Ling-Yu Duan
FedML
62
259
0
17 Mar 2022
Federated Learning Based on Dynamic Regularization
Federated Learning Based on Dynamic Regularization
D. A. E. Acar
Yue Zhao
Ramon Matas Navarro
Matthew Mattina
P. Whatmough
Venkatesh Saligrama
FedML
37
762
0
08 Nov 2021
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu
Yulong Shen
Ke Cheng
Xueli Geng
Jiaxuan Fu
Tao Zhang
Zhiwei Zhang
FedML
62
166
0
25 Sep 2021
Align before Fuse: Vision and Language Representation Learning with
  Momentum Distillation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li
Ramprasaath R. Selvaraju
Akhilesh Deepak Gotmare
Shafiq Joty
Caiming Xiong
Guosheng Lin
FaML
144
1,915
0
16 Jul 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
244
415
0
14 Jul 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning
  with Non-IID Data
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo
Fei Chen
Dapeng Hu
Yifan Zhang
Jian Liang
Jiashi Feng
FedML
60
332
0
09 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
43
645
0
20 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
180
475
0
01 May 2021
Federated Learning: A Signal Processing Perspective
Federated Learning: A Signal Processing Perspective
Tomer Gafni
Nir Shlezinger
Kobi Cohen
Yonina C. Eldar
H. Vincent Poor
FedML
46
129
0
31 Mar 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
D. Song
FedML
38
1,024
0
30 Mar 2021
Federated Learning with Taskonomy for Non-IID Data
Federated Learning with Taskonomy for Non-IID Data
Hadi Jamali Rad
Mohammad Abdizadeh
Anuj Singh
FedML
63
54
0
29 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
202
2,321
0
04 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering
Heterogeneity for the Win: One-Shot Federated Clustering
D. Dennis
Tian Li
Virginia Smith
FedML
98
148
0
01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
592
28,659
0
26 Feb 2021
Exploiting Shared Representations for Personalized Federated Learning
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
OOD
73
706
0
14 Feb 2021
Personalized Cross-Silo Federated Learning on Non-IID Data
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
61
601
0
07 Jul 2020
Personalized Federated Learning with Moreau Envelopes
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh
N. H. Tran
Tuan Dung Nguyen
FedML
48
982
0
16 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao R. Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
47
1,026
0
12 Jun 2020
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
48
168
0
11 Jun 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
106
4,476
0
23 Apr 2020
Federated Visual Classification with Real-World Data Distribution
Federated Visual Classification with Real-World Data Distribution
T. Hsu
Qi
Matthew Brown
FedML
107
199
0
18 Mar 2020
Adaptive Federated Optimization
Adaptive Federated Optimization
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
80
1,417
0
29 Feb 2020
Federated Learning with Matched Averaging
Federated Learning with Matched Averaging
Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Y. Khazaeni
FedML
89
1,117
0
15 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
165
18,523
0
13 Feb 2020
Variance Reduced Local SGD with Lower Communication Complexity
Variance Reduced Local SGD with Lower Communication Complexity
Xian-Feng Liang
Shuheng Shen
Jingchang Liu
Zhen Pan
Enhong Chen
Yifei Cheng
FedML
58
152
0
30 Dec 2019
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
98
6,177
0
10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
172
42,038
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
85
11,959
0
13 Nov 2019
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
101
1,128
0
13 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
83
4,470
0
21 Aug 2019
FedHealth: A Federated Transfer Learning Framework for Wearable
  Healthcare
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen
Jindong Wang
Chaohui Yu
Wen Gao
Xin Qin
FedML
50
710
0
22 Jul 2019
On the Convergence of FedAvg on Non-IID Data
On the Convergence of FedAvg on Non-IID Data
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
FedML
123
2,311
0
04 Jul 2019
Bayesian Nonparametric Federated Learning of Neural Networks
Bayesian Nonparametric Federated Learning of Neural Networks
Mikhail Yurochkin
Mayank Agarwal
S. Ghosh
Kristjan Greenewald
T. Hoang
Y. Khazaeni
FedML
113
724
0
28 May 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
80
5,105
0
14 Dec 2018
Federated Learning for Mobile Keyboard Prediction
Federated Learning for Mobile Keyboard Prediction
Andrew Straiton Hard
Kanishka Rao
Zhifeng Lin
Swaroop Indra Ramaswamy
Youjie Li
S. Augenstein
Alex Schwing
M. Annavaram
A. Avestimehr
FedML
100
1,525
0
08 Nov 2018
Federated Learning for Keyword Spotting
Federated Learning for Keyword Spotting
David Leroy
A. Coucke
Thibaut Lavril
Thibault Gisselbrecht
Joseph Dureau
FedML
43
282
0
09 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
210
10,152
0
10 Jul 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
132
2,547
0
02 Jun 2018
Federated Multi-Task Learning
Federated Multi-Task Learning
Virginia Smith
Chao-Kai Chiang
Maziar Sanjabi
Ameet Talwalkar
FedML
83
1,791
0
30 May 2017
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
223
17,235
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
57
1,641
0
19 Nov 2015
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